Principal Database Engineer - eBay (San Jose, CA)

Description

Reporting to the Manager of Performance and Capacity Planning, this individual will serve as a primary resource for monitoring, tuning, analysis, reporting, capacity planning and consulting on performance related issues of site production Oracle systems running on Solaris. This position is part of a team based in San Jose, CA that provides performance monitoring and capacity planning services in the Site Operations production environment. A variety of performance monitoring tools on Oracle Statspack and Unix platforms will be used to model and analyze system performance and resource usage data to: highlight existing/pending/future system bottlenecks and make appropriate recommendations for optimal tuning.

Requirements

The successful candidate will have strong communication skills in both written and oral format, and will be capable of explaining complex technical issues to both technical and non-technical audiences. Ability to interface with all levels of management, negotiating and influencing, to build consensus is required. The candidate should be able to take initiative, obtain required resources and cooperation of needed participants will also be necessary. Occasionally this individual will be responsible for the implementation of various programs and projects. These projects will vary in scope but will be focused around enhancements and changes to data collection, archiving, reporting and analysis.

• The candidate needs to have a solid knowledge with Oracle internals such as latching, locking, Oracle IO, data block fundementals and index structure plus a good understanding of Solaris internals in terms of file system, process, memory, IO subsystem and CPU management.

• The individual also needs to demonstate the ability to estimate, measure and quantify database impacts with new projects, indentify and alert inefficient SQL/design flaws, forecast mid to long term system capacity growth need and contribute to overall site availability and scalability design and improvement plans.

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URL: www.datashaping.com/jobs17271x.shtml
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Risk Manager, Consumer Banking Risk Management - JP Morgan Chase (Columbus, OH)

Risk Manager, Consumer Banking Risk Management
Columbus, OH
080012619

We are currently searching for a Risk Manager to work within an excellent team, with dynamic leadership, outstanding potential and growth opportunity.

Competitive compensation, relocation and benefits package

If you're interested in working in an environment where leadership, excellence, integrity and diversity are among our core principles, then explore the opportunities at JPMorgan Chase. Further information about careers at JPMorgan Chase can be found on our website: www.jpmorganchase.com.

As a Risk Manager within the Consumer Banking Risk Management group you will work on a team responsible for the evaluation and optimization of the deposit products model suite. In addition, you will conduct thorough quantitative portfolio analysis primarily using SAS as a tool; to identify trends and develop effective solutions for business challenges. Expectations for this individual include, but are not limited to:

• Gathering and interpreting large amounts of complex data to formulate concise conclusions regarding portfolio dynamics and trends.
• The statistical evaluation of vendor created tools so as to estimate potential benefit to JPMorgan Chase.
• Assisting with statistical validations of the existing set of account acquisition, management and behavioral models
• Development and implementation of optimal model strategies (score cutoffs, policies, operational flows, etc.)
• Participate in strategic initiatives with other business areas throughout Chase.

Requirements:

• Degree in statistics, Economics, Operations Research or related field.
• Advanced SAS skills, demonstrated success in a fast-paced corporate environment utilizing this tool.
• Experience with extracting large amounts of information from robust databases.
• 5-7 years corporate experience, financial services preferred
• Excellent interpersonal and communication skills. Ability to build strong relationships with all levels of clients.
• Proven management and leadership skills required.

Email your resume and cover letter to: lynn.a.mitchell [at] jpmchase.com

URL: www.datashaping.com/jobs17272x.shtml
Please mention datashaping.com when applying. Thank you.

Interview with Edmund Freeman, V.P. of Direct Marketing Modeling for Washington Mutual

Bio

I was born in Michigan in 1961, went to the University of Michigan for my bachelors, and then post-graduate studies in pure mathematics at Wisconsin and Illinois. I finally got tired of working on topics that I couldn't talk to even my office mates about, so I got out with a MS in statistics. My first real job was fraud analysis for Medicare. I spent most of the 90's working for a bleeding-edge data mining firm called NeoVista and later Accrue. This century I've worked in health research and managed modeling groups for telecoms and financial services, working on marketing problems. I am currently a VP of direct marketing modeling at Washington Mutual.

Which analytical fields are likely to experience growth, and why?

Nearly everything. What I've seen happen is the acceptance of the idea that advanced analytics can solve problems. I no longer have to convince people that models can help.

Which methodologies might become obsolete, which ones are likely to entertain growth?

When I first started going to the KDD conferences, the paper topics were new algorithms that people were thinking up. Later, the focus become general purpose approaches to help the entire analytic process. Lately, the papers were all about individual problems and the intricacies of applying advanced methods to actual issues.

I don't think any method is going to fall by the wayside. After all, I use the Student's T test nearly every day, and that's about as hoary as it gets. What has fallen by the wayside is the idea that we can do much of anything by shoving a data set at an algorithm.

Methods have to match problems. For some problems such as credit scoring it is absolutely necessary to give reasons for a score as well as the score itself, which means that linear methods are the way to go. Other problems (character recognition is the classic here) need some pretty high-powered methods.

In order to make sure the method fits the problem we have to know not just the data structure but the underlying domain as well. Being able to make domain knowledge and methodological approaches work together – that's the challenge.

Recommendations for students starting an analytical career or choosing a University curriculum

That's hard. When I'm looking to hire people I usually ask for a MS in stats or econ or the like, but I know lots of people in the field without any post-grad degrees at all.

Your opinion obout outsourcing

Outsourcing lets people from all over the world work on challenging problems and advance their career. I'm not sure how well it works out for the US companies.

Do you remember what I said earlier about combining domain knowledge with analytic methods? Kind of by definition, outsourced analysts can't provide the knowledge particular to a situation. That means the onshore company needs to have people that have both deep domain knowledge and at least a reasonable understanding of analytic methods to manage the work. The onshore managers also have to have very good project skills. Typically a company that's receiving the outsourced work will also have onshore managers, and they also have to understand analytic work. It is difficult to find people like that.

The hard part of analytic work – putting data sets together – is very difficult to outsource. I have had poor experiences in the past with letting others put data sets together for my projects without very tight supervision. Predictive analytics demands a unique perspective on data that most people don't have.

The short answer is that companies can successfully outsource parts of the analytic process but not the whole thing. This actually creates a lot of opportunities for people that are versed in analytic methods, good at communicating, and have decent project management abilities.

What are the biggest successes of data mining and statistical sciences in the corporate world, or for humanity in general? What are its biggest failures?

I'm going to differentiate between statistical sciences and data mining here, because very simple statistical tests have brought us modern experimental medicine and statistical quality improvement. It's hard to beat that.

For data mining and predictive analytics, I think the biggest success and the biggest failures have been in credit predictions. FICO scores are amazing: the fact that the models work that well and are that steady has revolutionized financial services. On the other hand, we have the fiasco of mortgage lending that is making rather depressing headlines, because the credit ratings on mortgage instruments were completely out of whack.

Comments on data mining and privacy

There is too much pressure on getting data on people. For marketing, security, medicine – there are a million reasons why data creates opportunity. I think that no matter what brakes we put on data transfer, in the end people will find ways around the barriers. Depressing but there you have it.

Think in terms of the ends that people want to perform with the data. Is it generally beneficial? For instance, I read recently an article about how we should prevent drug companies from using data mining to market products to doctors. The real issue isn't the data mining but how drug companies should be relating to doctors in the first place.

Best practices for analytic professionals: what are the most important items?

Think! Think about what you are doing. If it works, think about why it works. If it didn't work, think about why it didn't work. Think about the organization you are working for and all the problems it is trying to solve. Think about all the problems it isn't trying to solve but could.

Talk! Talk to people about what your experiences are, listen to their response, talk and listen to the people in your organization and profession. Even if it isn't directly related to a problem you are working on, you never know where it can lead.

Edmund's profile on AnalyticBridge: www.analyticbridge.com/profile/EmundFreeman

Research Director/Portfolio Manager (Bloomfield Hills, MI)

Flexible Plan Investments, Ltd. is a 50-person investment advisory firm founded in 1981 managing individual and qualified plan accounts as well as sub-advising five '40 Act mutual funds. Located in Bloomfield Hills, MI.

Research Director/Portfolio Manager

Research Duties

Conduct original fundamental and technical stock, bond and alternative market research. Supervise two other researchers and interface with trading and programming departments. Monitor and verify data sources for accuracy of quantitative financial information. Maintain performance software and spreadsheets. Run numerous reports in a timely manner to assist in investment decisions. Assist in the development and time series research of investment strategies. Participate in the daily trading process.

401(k) Co-Fiduciary Service Duties

Assist in compiling and/or amending Investment Policy Statements. Prepare and present a selection of appropriate investment choices for Participant accounts. Review investment options as they relate to the criteria in the Investment Policy Statement. Maintain webpage of investment portfolios. Support clients by answering questions concerning the plan’s investment options.

Portfolio Management Duties

Create fundamental screens for selection of numerous stock baskets. Liaison with trading partners at five sub-advised mutual funds. Daily calculation of derivative portfolio hedges. Run momentum ranking and MVO programs. Client and rep presentations.

Job Qualifications:

• Strong Excel experience
• Quantitative background helpful; must be very comfortable working with numbers, formulas, statistics, etc.
• Attention to detail and quality control extremely important
• Ability to work with minimal supervision, as well as working with other employees from various departments
• VB programming a must
• Encor and/or CAPs experience a plus
• CFA or CFA candidate (II or higher) required

Contact: Jerry Wagner, President
Email resume and salary requirements to flexplan@ix.netcom.com

URL: www.datashaping.com/jobs17268x.shtml
Please mention datashaping.com when applying. Thank you.

Senior Predictive Modeler (Denver, CO)

SENIOR PREDICTIVE MODELER

P&C INSURANCE CONSULTING

THE COMPANY

The company is helping define the direction that predictive analytics will take in business decision making by revolutionizing the Property and Casualty Insurance Industry. Their solution set includes cutting edge advanced predictive modeling and analytics for policy booking, underwriting, pricing, and claims operations processes. Located in Denver, they are a venture capital backed, growth-stage company with a rapidly growing client base, including two of the top ten insurance carriers in the United States.

THE POSITION

The ideal candidate will be entrepreneurial, creative and innovative, a true problem solver, able to generate new and exciting high value solutions. A consultative mind set and ability to help the client define business problems is essential. Reporting to the SVP of Predictive Analytics, the Senior Predictive Modeler will be both hands on and strategic as the business continues its phenomenal growth. Additional responsibilities include:

• Collaborate with others to shape data, modeling, implementation, and monitoring requirements
• Develop predictive models using company accepted methodologies and tools
• Develop modeling tool advancements over time
• Analyze data, peer review modeling work, and assess model quality
• Present modeling approach and results to clients
• Fully document all data and modeling choices, rationale, and results
• Monitor model performance and make model adjustments, refresh, and rebuild recommendations, as needed
• Identify areas for continuous improvement and research
• Create key statistical/data strategies for insurance lines of business, influencing business decisions, and driving great time to market

THE INDIVIDUAL

• Master's degree or higher in Statistics or related stochastic modeling field
• 3+ years experience of hands-on P&C insurance advanced, multivariate statistical model development, delivery, implementation, and monitoring
• Highly proficient in SQL and SAS programming and relational database querying and data manipulation
• Strong conceptual thinking skills
• High degree of initiative and personal ownership
• Solid communication, client interaction, and presentation skills
• Strong drive for results, demonstrating project discipline and timeline management
• Highly collaborative with a strong team focus

CONTACT

Marybeth Haas
Martin Partners L.L.C.
224 S. Michigan Ave., Suite 620
Chicago, Illinois 60604
(312) 922-1800
webmaster@martinpartners.com

URL: www.datashaping.com/jobs17267x.shtml
Please mention datashaping.com when applying. Thank you.

Statistician - Accent (Louisville, KY)

ACCENT is an international provider of integrated marketing solutions. We partner with world-class companies to help them acquire, support, retain and grow their customers at every stage in the customer lifecycle. Since 1993 we’ve offered our clients an integrated suite of customer care, data modeling, direct marketing and fulfillment solutions built on proven methodologies and extensive insight into customer behaviors.

With a customer-focused attitude, more than a decade of industry experience, scalable technologies and contact centers that span the globe, ACCENT is committed to providing customer care solutions that Drive Value Through Every Customer Interaction.

ACCENT is an equal opportunity employer and a drug free workplace. To learn more about ACCENT please visit our web site at www.accentonline.com.

We seek a Statistician for our corporate office located within the Louisville, Kentucky area. Qualified applicants should email resumes to jpaley@accentonline.com.

Position Summary

Responsible for utilizing various analytical tools to analyze data, provide insight and measure results. The position requires: 1) Extensive experience in Data Analysis; 2) Strong hands-on analytical skills; and 3) Good working and theoretical knowledge of statistics (linear regression and logistic regression techniques, significance testing; and 4) A working knowledge of database architecture.

Principle Duties and Responsibilities

• Develop and maintain statistical models
• Develop data-driven analyses supporting targeted marketing campaigns.
• Perform activities associated with the measurement, analysis, and reporting of marketing performance.
• Work effectively with marketing team members to accomplish the tasks of the position.
• Utilize data mining techniques and queries to gather business intelligence related to marketing campaigns as well as customer and prospect profiling.
• Create ad hoc analytics/reports in response to requests from marketing team and clients.
• Take an active role in the development of strategies to improve marketing performance by translating quantitative findings into practical marketing insights through the interpretation of sales data, trends, and other data sources for potential marketing value.
• Drive continuous enhancements of database reporting capabilities and functionality of reporting tools that track key business performance metrics.
• Maintain a positive attitude and support the ACCENT Commitment to Excellence.
• Perform other duties as assigned.

Candidate Specifications

• Minimum Bachelors degree in Economics, Statistics, or Math or Science related degree.
• Two or more year’s related experience required, direct mail experience preferred.
• Strong analytical and project management skills.
• Proficient with standard spreadsheets, databases, query tools such as: Access, Excel, SPSS or SAS; Model 1, SQL, SPSS Clementine software a plus
• Excellent interpersonal and problem-solving skills.
• Professional attitude, enthusiastic, and reliable.
• Effective written and verbal communication skills.

Qualified applicants should email resumes to jpaley@accentonline.com.

URL: www.datashaping.com/jobs17265x.shtml
Please mention datashaping.com when applying. Thank you.

Manager II, Credit Financial Engineering - WaMu (Seattle, WA)

At WaMu, our core values inspire and guide our talented team as they help us write our extraordinary ongoing success story. We believe that a diverse group of talented, committed individuals—working as a team—can make a real difference. We celebrate our successes, learn from our failures, and keep our egos in check. We also manage to keep a sense of humor along the way. So if you’re ready for WaMu, read on!

Now hiring:

Manager II-Credit Financial Engineering

This position directs the daily activities of a moderately sized workgroup or department, makes recommendations to senior managers on the need to develop, adapt, modify or streamline policies, procedures and systems, contributes to the development of strategic plans at the department level and monitors and evaluates departmental effectiveness as well as work-products, deliverables and outcome quality.

Extensive, Specialized Knowledge of:

• Data management (including data maintenance, data quality assurance, metadata management, and basic database administration)
• OLAP
• Analytical methodologies
• Credit risk management principles and practices
• Banking and financial services, products, and processes
• Project management methodologies
• Developing recommendations for senior leaders
• Making sound decisions that will affect a large workgroup or department
• Managing multiple and/or large complex projects
• Preparing and presenting complex technical information for a variety of audiences including senior leaders
• Technical resource management

Qualifications:

• Technical Skills Required:
• Oracle 9i/10g
• SQL Server 2000/2005
• Apex
• PL/SQL
• Familiarity with ETL software
• Experience using SAS in data management applications would be an asset
• Visual Source Safe
• Bachelor’s Degree required
• Masters degree preferred
• 10 years of credit related experience that includes 3-5 years of management experience.

To apply, visit www.wamu.com/careers, referencing Job #454737, Source Type as Advertisement and Source Name as DataShaping.com

Washington Mutual is an equal opportunity employer. We embrace differences, welcome diversity, and value a culture of respect.

URL: www.datashaping.com/jobs17261x.shtml
Please mention datashaping.com when applying. Thank you.

Consumer Insights Business Analyst Lead (Chicago, IL)

THE COMPANY

The client is a well established agency that has reinvented themselves as a new breed—one focused on solving business problems by delivering clients a real ROI. They are the first global, behavior-based, fully inclusive, highly creative and accountable marketing communications organization operating against a single P&L.

Being media-, discipline- and channel-agnostic, the organization taps into over 130 years of expertise to recommend whatever mix of marketing communications options are best for building its clients’ businesses, ranging from branding, advertising, direct and relationship marketing, promotions, retail, digital, sponsorship, and media – with a disciplined, relentless focus on creativity, accountability and metrics.

THE POSITION

• Utilize a broad variety of data to evaluate marketing campaigns, consumer segmentation, purchase patterns, etc.
• Interact effectively with the account team, and with the client
• Make recommendations, based on business objectives and available data sources, to incorporate new analytical tools, reporting, and data-driven strategy into the advertising & direct marketing mix.
• Manage (dotted line, not official management) data specialists (statisticians, database developers, junior reporting specialists, etc.) to deliver quality projects on-time.
• Above all, the successful candidate will be a marketing person, able to turn numbers into actionable strategy.

THE INDIVIDUAL

• Seasoned marketing skills – able to make meaningful recommendations based on data. MBA a plus.
• Excellent quantitative skills – able to evaluate data meaningfully. Advanced Excel skills and basic statistics are a given, database experience and SAS/SPSS are a big plus.
• Great communication skills:
  • Verbal: you will represent your analysis, findings and strategic implications to senior client marketing executives
  • Written: you will need to represent findings in Word and Powerpoint documents effectively
• Dotted-line managerial skills:
  • You will be a “team leader” of technical resources, whose deliverables you will need to manage
  • You will work within broader account teams including Account Managers, Strategic Planning, Creative Development, Media Planning & Buying, and others.

CONTACT

Marybeth Haas
Martin Partners L.L.C.
224 S. Michigan Ave., Suite 620
Chicago, Illinois 60604
(312) 922-1800
Marybeth@martinpartners.com

URL: www.datashaping.com/jobs17262x.shtml
Please mention datashaping.com when applying. Thank you.

Business Systems Analyst I - Liberty Mutual (Dover, NH)

Description

Assists with various aspects of the re-engineering of business operations to improve business results. Assists with evaluating business requirements and with estimates for project plans. Analyzes and documents business problems of low complexity. Tests system behaviors and contributes to test plans. Assists with upgrades and rollouts.

Requirements

Bachelor's degree in business or technical discipline or equivalent experience. Minimum of 1 year related experience. Basic knowledge of business operations, objectives and strategies as well as business process and information flow. Basic knowledge of IT concepts, strategies and methodologies. Basic knowledge of diverse technologies and new and current architectures. Negotiation skills; oral and written communication skills. Skills in object, data and/or process modeling; financial analysis and planning; business process design.

Benefits

We recognize that talented people are attracted to companies that provide competitive pay, comprehensive benefits packages and outstanding advancement opportunities. For this reason we offer a Comprehensive Benefits Plan that includes the following: 401K and retirement plan, Accidental death & dismemberment insurance, Credit Union membership, Dental coverage, Dependent life insurance, Disability insurance, Discounts on automobile and homeowner's insurance, Employee life insurance, Long-term care insurance, Medical coverage, Paid time-off, Pay-for-Performance, Reimbursement accounts, Tuition reimbursement, Vision care coverage, and Work/Life resources.

Apply Online
Email your resume

URL: www.datashaping.com/jobs17263x.shtml
Please mention datashaping.com when applying. Thank you.

Mgr,Statistical Modeling Loyalty Program - eBay (San Jose, CA)

Description

Understand the key elements of eBay’s Loyalty Marketing and Relationship Marketing businesses, paying particular attention to the objectives and operational details of the entire set of marketing channels and levers.

 

Collaboratively work on cross-functional business teams – with managers, analysts, and the China Analysis Center. Lead the testing, modeling and optimization of different marketing channels and across different marketing channels. Devise suitable business models and other quantitative models that will deliver clarity of understanding, permit valid inferences, and have functional predictive capability in optimizing performance on a global basis.

 

Assist in designing and evaluating tests, and employing other advanced data analysis techniques to effectively answer significant business opportunities.

 

Act as a consulting resource for any required reporting and communication tools that will be published across the company to deliver business inferences that support actionable planning.

 

Contribute significantly to the work of a dedicated team of managers and analysts who will be responsible for developing and deploying a suite of statistical models for estimation, prediction, and optimization of eBay’s Loyalty and Relationship Marketing businesses. 

Requirements

A minimum of 4 years work experience in Engineering, Statistics, Econometrics, Financial Engineering, or similar Quantitative Research field is required. Formal knowledge of optimization theory is preferred. Experience and familiarity with web analytics and analysis is required. A masters degree in relevant area is desirable.

 

Expertise with at least one of the following statistical analysis applications is required: SAS, SPSS, or R/S-PLUS.  Familiarity with SQL, Teradata, VBA, Microsoft Project, Microsoft Excel, and Microsoft Access preferred. Superb project management skill is also preferred.

Candidates should be familiar with life cycle modeling, differential equations, stochastic processes, Poisson regression models, two-step models, Baysian modeling and CART.

 

Ability to participate collaboratively in a team tasked to produce complex analyses on a rigorous schedule. Strong written and verbal communications skills and the ability to present to large multi-disciplinary audiences on a regular basis.

 

High energy and creativity, a clear customer-focus, an entrepreneurial approach, and comprehensive understanding of quantitative methods, together with superb attention to detail.

 

Ability to provide leadership to a fast growing team, work independently within clear strategic guidelines and drive for efficient actionable results.

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URL: www.datashaping.com/jobs17256x.shtml
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Data Services Manager - MySpace (San Francisco, CA)

Social Networking is one of the hottest sectors on the web in recent years. MySpace.com has emerged as the definitive leader in this space since launch. MySpace has over 250 employees and is in rapid growth mode. Our users use MySpace to meet friends, find and listen to new bands/music, blog, plan events, play games, and participate in user forums and groups. MySpace, with over 130 million users, has revolutionized the way people interact and plan their social lives.

The MySpace.com Data Services team is responsible for data architecture, data infrastructure and operations for all MySpace.com data systems. The data services manager will be leading a team of data designers and developers and working closely with the data architect and the operations managers. The candidate will be responsible for managing the tasks and timelines for the data services projects and tasks within other projects and will interface closely with project managers from other teams as well as senior management.

Required Skills:

• Minimum 5 years experience managing projects and leading engineers in a fast paced agile development environment
• Thorough knowledge of agile project management methodologies, processes, software and procedures
• Thorough knowledge of database concepts, database design, data modeling and system architectures
• Demonstrated ability to lead all phases of development projects including refining and translating product requirements, project planning, assigning project responsibilities, project scheduling, negotiating project deliverables, system/application design and testing, communicating project status, coordinating hardware and operational needs and implementing and maintaining systems
• Self-directed with the ability to work independently in a fast-paced environment and aggressively drive project milestones
• Demonstrated ability to define project scope and establish objectives for assigned projects
• Demonstrated ability to direct the activities of other associates within a project in a matrixed environment
• Strong interpersonal and conflict resolution skills; experience interacting with all levels of management
• Ability to adapt and respond positively and effectively to change, delay, and/or shifting priorities and goals
• Demonstrates good judgment in identifying issues and recommending solutions to others
• Prior hands-on development experience is required

The candidate needs to work well in a high pressure team environment with a strong focus on Agile development processes. The candidate should be able to handle operational responsibilities with respect to the data systems’ the candidate works on.

www.fimcareers.com

Please email resumes to: David Rios, Talent Acquisition, david.rios@fox.com

URL: www.datashaping.com/jobs17254x.shtml
Please mention datashaping.com when applying. Thank you.

Data Mining Architect - MySpace (San Francisco, CA)

Social Networking is one of the hottest sectors on the web in recent years. MySpace.com has emerged as the definitive leader in this space since launch. MySpace has over 250 employees and is in rapid growth mode. Our users use MySpace to meet friends, find and listen to new bands/music, blog, plan events, play games, and participate in user forums and groups. MySpace, with over 130 million users, has revolutionized the way people interact and plan their social lives.

The MySpace.com Data Services team is responsible for data architecture, data infrastructure and operations for all MySpace.com data systems. The data mining architect will be a member of the Data Mining team responsible for gathering and developing requirements for large scale distributed data mining systems. Responsibilities will include executing social network analysis related mining projects, building prototypes and close participating in final product development as well as working with business to identify needs in new building new algorithms and technologies. The candidate will develop system concepts and technical architecture and plan and execute development of the systems, working closely with application developers and product management.

Required Skills:

• PhD in CS, Mathematics or related areas
• Minimum 3-5 years of industry experience
• Expert iin social network analysis, machine learning, data mining, information retrieval, graph theory, algorithms, collaborative filtering
• Strong analytical and problem--solving skills
• Excellent communication skills annd ability to translate academic knowledge and theoretical results into business application and vice versa

The candidate needs to work well in a high pressure team environment with a strong focus on Agile development processes. The candidate should be able to handle operational responsibilities with respect to the data systems’ the candidate works on.

www.fimcareers.com

Please email resumes to: David Rios, Talent Acquisition, david.rios@fox.com

URL: www.datashaping.com/jobs17253x.shtml
Please mention datashaping.com when applying. Thank you.

Teradata Application DBA - Liberty Mutual (Portsmouth, NH)

Company

About Liberty Mutual Group

Boston-based Liberty Mutual Group is a diversified global insurer and sixth largest property and casualty insurer in the U.S. based on 2006 direct written premium. The Company also ranks 95th on the Fortune 500 list of largest corporations in the U.S. based on 2006 revenue. As of December 31, 2007, Liberty Mutual Group had $94.7 billion in consolidated assets, $82.3 billion in consolidated liabilities, and $25.9 billion in annual consolidated revenue.

Liberty Mutual Group offers a wide range of insurance products and services, including personal automobile, homeowners, workers compensation, commercial multiple peril, commercial automobile, general liability, global specialty, group disability, assumed reinsurance, fire and surety.

Liberty Mutual Group (www.libertymutual.com) employs over 40,000 people in more than 900 offices throughout the world.

Job Description

Liberty Mutual Personal Markets has an immediate need for an application database administrator to develop, implement, and support database technology as it relates to an Enterprise Data Warehouse (EDW). This is an outstanding opportunity to work in a truly enterprise focused role featuring state-of-the-art technology and enterprise-level data warehousing.

An EDW application database administrator will perform a broad range of activities not often included in traditional operational database administration functions. The role of the EDW application database administrator is to ensure reliability, availability, security, performance and quality. The EDW database environment is a Teradata RDBMS which includes data provisioning and data access technologies such as GoldenGate, Informatica, SAS, and other Business Intelligence tools. The position requires significant interaction with DBAs, data modelers, technologists, as well as business analysts, users, and managers at all levels.

Specific Responsibilities:
• Define, Implement, and Enforce proactive database performance and tuning strategies.
• Define, Implement, and Enforce data warehouse database security standards.
• Define, Implement, and Enforce database code management and deployment processes.
• Define, Implement, and Enforce backup and recovery practices.
• Define, Implement, and Monitor proactive database capacity management processes.
• Define, Implement, and Test disaster recovery procedures.
• Identify opportunities to optimize development practices.
• Influence Production Environment Control (PEC) standards as they relate to data warehousing.
• Document all processes surrounding the data warehouse database including a comprehensive architecture document and run book document.
• Work directly with and mentor staff.

Requirements

Qualifications:
• Very Strong understanding of Relational Database Management Systems as they relate to Data Warehouse Strategies.
• Experience with Teradata Data Warehousing methodologies and functionality preferred
• Familiarity with tools and products used in data warehouse development, such as GoldenGate, Informatica, and Teradata.
• Strong verbal/written communications and presentation skills as well as confidence and presence with IT and business executives
• Must work well in a collaborative team environment
• Exposure to Property and Casualty (P&C) insurance products and processing preferred

General Skill sets
• Participates as high level technical expert in design, development, coding, testing and debugging new software or significant enhancements to existing software.
• Develops and enhances highly complex systems and/or software from general requirements and specifications across multiple platforms, applications and projects.
• Identifies and analyzes technical and/or functional Level 2 problems of high complexity; designs and implements effective solutions.
• Works with technical staff to understand problems with software and develops specifications for improvements and enhancements.
• Works with Technologist to strategize on the technologies and components needed to implement the appropriate business solutions.
• Leads development staff to ensure both architectural and development standards are being met. This includes leading design and coding reviews.
• Helps develop and organize technology plan that developers can execute from. Makes recommendations to the Project Managers on the right development tasks and skill set. Validates that application was build based on technology plan.
• Mentors junior developer on application portfolio, coding standards and techniques and development processes.
• May provide on-call support as needed.
• Thorough knowledge of IT concepts, strategies, and methodologies
• Thorough knowledge of diverse technologies and hew technical architectures, principles, and concepts; understands industry wide technical standards
• Thorough knowledge of software engineering design and development tools
• Consults on major, complex design considerations; acts as principal project architecture designer and reviewer for 1 or more project teams and may make architectural decisions.
• Bachelor’s or Master’s degree in technical or business discipline or equivalent experience, technical degree preferred
• Generally 8+ years of professional experience

Benefits

We recognize that talented people are attracted to companies that provide competitive pay, comprehensive benefits packages and outstanding advancement opportunities. For this reason we offer a Comprehensive Benefits Plan that includes the following: 401K and retirement plan, Accidental death & dismemberment insurance, Credit Union membership, Dental coverage, Dependent life insurance, Disability insurance, Discounts on automobile and homeowner's insurance, Employee life insurance, Long-term care insurance, Medical coverage, Paid time-off, Pay-for-Performance, Reimbursement accounts, Tuition reimbursement, Vision care coverage, and Work/Life resources.

How to Apply:

Online
Email

URL: www.datashaping.com/jobs17252x.shtml
Please mention datashaping.com when applying. Thank you.

Analytic Leaders: we Need your Opinion!

Analytic Leaders: we Need your Opinion!

We are in the process of interviewing analytic leaders. If you are interested in contributing, please email us your answers to the questions below. We are interested in answers from people with at least 5 years of experience and growing responsibilities in an analytical position. Interviews will be published on AnalyticBridge.

Junior analysts interested in contributing should email us success stories instead. Joining AnalyticBridge is not required, but with 1200 members, incredible networking opportunities (more interactive than LinkedIn), no cost, and the possibility to win $250 as the member of the month each month, you might consider joining our network, the first comprehensive, full service Web 2.0 platform for analytic professionals.

Regarding the interview, we would like your opinion on the following questions (feel free to add extra questions or skip some questions if you want, except your short bio):

• Start (or finish) with your bio
• Which analytical fields are likely to experience growth, and why? (e.g. fraud detection, biostats)
• Which methodologies might become obsolete (e.g. linear regression), which ones are likely to entertain growth (e.g. hybrid algorithms)
• Recommendations for students starting an analytical career or choosing a University curriculum
• Your opinion on outsourcing: good things / bad things for the US or other economies, risks, how to take advantage of it, will the trend reverse, will we see reverse outsourcing (Indian companies outsourcing development to US companies)?
• What are the biggest successes of data mining and statistical sciences in the corporate world, or for humanity in general? What are its biggest failures?
• Comments on data mining and privacy
• Best practices for analytic professionals: what are the most important items (for consultants, managers, professors, researchers, government or corporate employees)?
• Which analytic web sites do you use most or like best? Which analytic products do you use most or like best?
• How and why did you become an analytic professional? Which factors contributed to your success?

We are looking forward to receiving and integrating your contribution to AnalyticBridge, the largest, most active and fast growing network for analytic professionals.

To unsubscribe to email alerts from the DataShaping LinkedIn group, please reply with unsubscribe in the subject line.

Best regards,
Vincent

Vincent Granville, Ph.D.
Founder and Principal
www.datashaping.com
www.analyticbridge.com

Interview with Ajay Ohri, Data Mining consultant, DecisionStats.com

Bio

Ajay Ohri has been working in the field of analytics since 2004 , when it was a still nascent emerging Industries in India. He has worked with the top two Indian outsourcers listed on NYSE,and with Citigroup on cross sell analytics where he helped sell an extra 50000 credit cards by cross sell analytics .He was one of the very first independent data mining consultants in India working on analytics products and domestic Indian market analytics .He regularly writes on analytics topics on his web site www.decisionstats.com and is currently working on open source analytical tools like R and newer softwares like WPS.

Which analytical fields are likely to experience growth, and why?

Analytical fields in fraud detection are likely to grow exponentially as the payment markets grow and frauds become more sophisticated. Another field of analytics that I believe is likely to grow could be environmental analytics especially related to carbon footprints and carbon credits.exchange. Increasingly sophisticated tools for measuring risk in order to cope with current failure of risk management tools to assess risks of leveraged collateral's assets, especially stress testing of such financial products.

Which methodologies might become obsolete, which ones are likely to entertain growth?

Traditional models utilizing offline modes of download data, model, validate, apply scores may face challenges from machine learning algorithms that execute and score regression models in PMML in real time. Some techniques like genetic algorithms and other mixed models will take off. There is likely to more profusion of open source tools like R in the space reserved by SAS and SPSS.Data feeds are likely to be more automated with real time validation rather than one off modeling scoring and periodic validation.

Recommendations for students starting an analytical career or choosing a University curriculum

Pick one macro economics course, one basic quant course , and learn softwares like SPSS , SAS, and especially R using the GUI RCmdr. Improve your spreadsheets skills by learning some basic VBA. If possible try and learn some programming in .Net or create your website using Wordpress.

Play with these, read some blogs on them and have fun playing with numbers. Data Mining and Analytics can reveal remarkable insights and you can be the big man on campus if you do this correctly. Plus the shortage of skilled people will give you an edge over others who dont have these skills to get a job.

Your opinion on outsourcing: impact on US and other economies, how to take advantage of it, reverse outsourcing

Well most Indian outsourcing companies are actually owned by American private equity funds or American companies. It is estimated that for 1 dollar outsourced 69 cents flows back to the host country due to reduced costs,It becomes controversial because essentially its a transfer from blue collar American jobs to white collar American investors.Also countries like India become stable allies and become big market for American products like Microsoft, Pepsi, and Levis.

Reverse outsourcing is already happening. Thats because India is a much cheaper place to live. A 50000 dollar salary (which is so small at home) will get you a plush apartment, club membership, chauffeur driven car, good social life in the embassy circle. There is a big demand for American expatriates especially as Indians find selling/marketing is an unique American strength. Indian people are one of the friendliest people to Americans because of English Education and Hindu domination. Companies like TCS are setting up development centers in America to be closer to the talent.

Remember low end jobs will get outsourced, innovation driven high value jobs will stay in US. Many people I know work in a global delivery model thanks to technologies like skype, remote desktop, etc where it doesn't matter which country team members are.

What are the biggest successes of data mining and statistical sciences in the corporate world, or for humanity in general? What are its biggest failures?

Google is the biggest success in data mining.Pharmaceutical sciences are biggest successes.Biggest failures have been in financial services where focus got lost to sell rather than manage risk as well. Its understandable since penalties for predatory lending are much lower than penalties for wrong medicine products. Even though macro economic pain causes is much more.

Comments on data mining and privacy

Data mining and privacy are surprisingly simple but confounding in number of incidents. A simple encryption of sensitive data can be done using public key and private key before storing the data in tables and datasets. Most analysis is done on non privacy data (names and address rarely get analyzed) hence these can be decrypted only at time of marketing only.

I like Google's approach to opt in/opt out privacy, but am still worried but about the electronic trails leave on the Internet. Maybe there is a demand for a product that deletes all electronic traces in all forums etc..:)

Best practices for analytic professionals: what are the most important items?

Best Practise- Be aware of whats going in your field, subscribe to the blog, email lists, spend at most 10 minutes a day polishing your knowledge or cutting down costs, its fun and refreshes you too. I recommend the SAS -L List, SPSS Google groups and R Help list . You can also add custom Google alerts for specific keywords like Business Intelligence. There are many groups in Linkedin that cater to this segment. In addition, I am a member of Google Chart group and blog on www.decisionstats.com

Above all do network with fellow professionals using online off line tools to stay on your toes in this fast changing field.

Which analytic web sites do you use most or like best? Which analytic products do you use most or like best?

I like the SAS -L list as it really helps in talking about trends etc in analytics. In Websites, I like Mashable.

I love using SAS modules , SPSS add ins, and R packages. Lately I love experimenting a base SAS clone called WPS (http://www.teamwpc.co.uk/products/wps/features/workbench) which is available for only 300 pounds and has a great design

How and why did you become an analytic professional? Which factors contributed to your success?

I became an analytics professional by accident as I joined the team of one of the founder- CEO 's of India's analytical industries at GE 's back office, Shrikant Dash in 2004 when analytics was still very nascent in India. He was was tough customer,being VP, CRM for GE Consumer Finance Americas and he really taught me to work hard in modeling, SAS , reporting.

The rest I learnt just be keeping my eyes and ears open for newer macros, programs ,softwares that help me get the job done faster so I could go home to my family earlier. I found that sticking to basic questions helped me in designing basic analytics products much better than following the software's instructions. Networking aggressively with world class professionals like Alan Churchill of www.savian.net, Phil of www.minequest.com also helped me learn a great deal. A quality I learnt was when in doubt , ask around than fiddle and waste time.

Manager, Data Stewardship Business Systems Projects - Liberty Mutual (Portsmouth, NH)

Company

About Liberty Mutual Group

Boston-based Liberty Mutual Group is a diversified global insurer and sixth largest property and casualty insurer in the U.S. based on 2006 direct written premium. The Company also ranks 95th on the Fortune 500 list of largest corporations in the U.S. based on 2006 revenue. As of December 31, 2007, Liberty Mutual Group had $94.7 billion in consolidated assets, $82.3 billion in consolidated liabilities, and $25.9 billion in annual consolidated revenue.

Liberty Mutual Group offers a wide range of insurance products and services, including personal automobile, homeowners, workers compensation, commercial multiple peril, commercial automobile, general liability, global specialty, group disability, assumed reinsurance, fire and surety.

Liberty Mutual Group (www.libertymutual.com) employs over 40,000 people in more than 900 offices throughout the world.

Job Description

Manages a project of high risk and value (providing a change to technology or business direction) or a product, operation or portfolio. Projects, products or operations are generally more critical and have broader scope and more impact than those delivered by individual contributors. Manages team which is generally composed of a minimum of 8-10 people.

Requirements

In this position you will work closely with Boston Home Office and Regional stakeholders, both at a senior level and at the analyst level to develop a new strategy and organizational model to support data stewardship. Additionally, you will also research, develop, or implement new tools designed to capture and track all of the data elements available in the EDW and also all related business metrics. It is expected that you will have a significant role in beginning the process of driving collaboration around defining our core business metrics as part of redefining how the data stewardship process will work. In-depth understanding of the base technical architecture and data structures of the Personal Market Enterprise Data Warehouse. You will need to understand key business metrics and how they drive operational outcomes. You will be required to understand what types of analytical studies the business needs and how to best support these in terms of common metrics, data and tools (access methods). You will be responsible for project managing a pool of Business Systems Analysts. You will need to “manage” the interests of multiple stakeholder groups including IT and senior management. Act as a change agent, while serving as a catalyst for new ideas on how to leverage data, information, and business intelligence and analytical tools. You will be required to mentor the business systems analysts assigned to the initiative as well as other business systems analysts and information technology developers in how the business metrics are used to monitor and inform the management of the business. Experience using relational databases, extracting and manipulating information using query tools employing Structured Query Language (SQL) and Teradata SQL preferred. Experience with data management quality controls
Proficiency with database query applications and data analysis techniques.

Bachelor's or Master's Degree in technical or business discipline or equivalent experience, Master's Degree preferred. Generally a minimum of 8 years related experience with 3 years in leadership role desirable. In-depth knowledge of IT concepts, strategies and methodologies. Thorough knowledge of business functions and thorough knowledge of business operations, objectives and strategies. In-depth knowledge of project planning methodologies and tools and IT standards and guidelines. Knowledge of management concepts, practices and techniques. Ability to promote a team environment. Strong negotiation, facilitation and consensus building skills. Strong oral and written communications skills; presentation skills.

Benefits

We recognize that talented people are attracted to companies that provide competitive pay, comprehensive benefits packages and outstanding advancement opportunities. For this reason we offer a Comprehensive Benefits Plan that includes the following: 401K and retirement plan, Accidental death & dismemberment insurance, Credit Union membership, Dental coverage, Dependent life insurance, Disability insurance, Discounts on automobile and homeowner's insurance, Employee life insurance, Long-term care insurance, Medical coverage, Paid time-off, Pay-for-Performance, Reimbursement accounts, Tuition reimbursement, Vision care coverage, and Work/Life resources.

How to Apply:

Online
Email

URL: www.datashaping.com/jobs17251x.shtml
Please mention datashaping.com when applying. Thank you.

Risk Analytics Manager - Ethoca (Toronto, Canada)

THE OPPORTUNITY

Be part of an exciting global company that has just entered an exciting new hyper-growth phase. Armed with an innovative, collaborative fraud management service that’s in high demand, and working with experienced marketing and technical teams you’ll drive the next generation of Ethoca’s core product.

As a Risk Analytics Manager, based in Toronto Canada, you will be hands-on in driving the implementation of a world class global collaborative fraud management system. When it comes to putting your years of experience to the test, look no further than Ethoca.

DESCRIPTION

Ethoca is looking for an enthusiastic, experienced, and dynamic individual to build and lead their risk analytics team. This is both an operational and leadership role for an energetic and motivated self-starter who is passionate about team-building, creating a great customer experience, and managing the efficiency and effectiveness of our risk portfolio. Candidates should be extremely proactive, motivated, organized and analytical. They should also work well within a fast-paced, quickly changing organization.

Typical work requirements include:

• Internet Fraud – Development of sophisticated predictive models to apprehend online fraudsters
• Recommending Technology – Recommending technology and solutions for our own systems and for our customers to improve customer satisfaction and loyalty.
• Hypothesis Testing – Which works better: a feature that simplifies our process or a complicated feature that gives the customer more control?
• Marketing Analytics – Help us help our customers! Models can allow us to better target our customer base with targeted solutions.

RESPONSIBILITIES:

• Lead a growing team of highly-technical modelers and data miners.
• Mentor team members in their career development. Guide direct reports in areas such as analytics programming skills; technical skills development; advanced mathematics; project management.
• Propose and lead innovative mathematical approaches to solving complex business problems.
• Serve as the primary point of contact for other internal departments with analytic and modeling needs.
• Guide and mentor other modelers in best practices regarding methodology, as well as implementation (proper documentation, source control, and coding practices).
• Perform analyses, statistical design, statistical coding, and model validation in support of business requirements.
• Set and provide strategic vision for product development efforts related to core risk product offerings.

TECHNICAL EXPERTISE

• Generate statistical code that executes in an autonomous production environment and fully considers error handling, exception conditions, etc.
• Perform unit testing and model validation of statistical routines.
• Collaborate extensively with stakeholders, program management, and software development team members to ensure that solutions meet business needs, permit valid inferences, and have functional implementability.
• Document the technical details of your work to improve collaboration with other team members.

REQUIREMENTS:

• 8+ professional experience in a modeling or analyst role, someone with high energy and creativity and an openness to new ideas/approaches.
• 3-5+ years of managing technical teams.
• Master’s degree (Ph.D. preferred) in quantitative discipline such as statistics, economics, applied mathematics, quantitative methods, operations research, research methodology, etc.
• Comprehensive understanding of quantitative methods and extreme attention to detail.
• Previous experience in the e-commerce and/or credit card domain preferred.
• Past experience with business analysis and solution designs for modeling solutions.
• Strong computer application skills with functional proficiency in SQL.
• Experience in several of the following areas: predictive modeling (including ARIMA and regression techniques), neural nets and self-learning models, linear and non-linear optimization, etc.
• Ability to estimate required effort for project objectives and prioritize work items appropriately.
• Excellent written and oral communication skills
• Knowledge of credit card processing, payment fraud prevention techniques, and e-commerce procedures are an advantage
• Ability to effectively influence and communicate cross-functionally with all levels of management within Ethoca
• Self starting, proven leader with strong analytical skills, capable of challenging and inspiring a talented and diverse team
• Team player with exceptional interpersonal skills
• Hard working, detail-oriented, and well organized
• Fluent English required

If interested in a challenge and driven to take fraud-risk management to the next level it’s time you join Ethoca. To apply, please forward your resume to recruiting@ethoca.com with your name and title of the position in the subject line.

URL: www.datashaping.com/jobs17247x.shtml
Please mention datashaping.com when applying. Thank you.

Technical Data Steward - Ethoca (Toronto, Canada)

THE OPPORTUNITY

Be part of an exciting global company that has just entered an exciting new hyper-growth phase. Armed with an innovative, collaborative fraud management service that’s in high demand, and working with experienced marketing and technical teams you’ll drive the next generation of Ethoca’s core product.

As a Technical Data Steward, based in Toronto Canada, you will be hands-on in driving the implementation of a world class global collaborative fraud management system. When it comes to putting your years of experience to the test, look no further than Ethoca.

DESCRIPTION

Ethoca is looking for an enthusiastic, experienced, and dynamic individual to lead their development and implementation of their data quality strategy. This is both an operational and leadership role for an energetic and motivated self-starter who is passionate about data quality, creating a great customer experience, and contributing to the efficiency and effectiveness of our risk portfolio. Candidates should be extremely proactive, motivated, organized and analytical. They should also work well within a fast-paced, quickly changing organization.

Typical work requirements include:

• Data Analysis – Identify opportunities for standardization, matching improvements, quality gaps, implementing reporting processes to track data quality
• Process Development – Define and implement processes required to ensure required levels of data quality are met over time and in all environments
• ETL – Hands-on implementation of ETL processes to load data from various sources into the system
• Standardization/Matching – Implement new standardization and fuzzy matching algorithms
• Fraud-risk analysis –Support our experience analytics team through data manipulation as new risk models are developed
• Recommending Technology – Recommending technology and solutions for our own systems and for our customers to improve customer satisfaction and loyalty.

RESPONSIBILITIES:

• Hands-on implementation of ETL processes to load data into the system
• Work closely with technical staff, applications development, and the data owners/subject matter experts from the businesses.
• Utilize data profiling and data quality tools, as well as with various data sources to uncover and determine root causes of data quality issues.
• Articulate the need for and benefits of data quality to IT and the business alike will be critical.
• Collaborate directly with the business data owners to establish the quality business rules that will provide the foundation of the organization's data quality improvement plan.
• Establish a data quality methodology documenting a repeatable set of processes for determining, investigating and resolving data quality issues, establishing an on-going process for maintaining quality data, and defining data quality audit procedures.
• Lead requirements and implementation of fuzzy matching algorithms
• Execute data standardization and validation tools including setup and scheduling periodic updates.
• Make the approved configuration changes and monitor them day to day.

TECHNICAL EXPERIENCE

• Strong knowledge of database structures and SQL needed. Ability to identify sets and subsets of information across multiple joins or unions of tables.
• Technical experience with executing ETL processes and fuzzy matching algorithms
• Experience with Data Quality software. Must have technical experience with implementation and maintenance.
• Experience in managing projects through to completion.
• Proficient in MS Project, MS Access, Visio and Excel.
• Document the technical details of your work to improve collaboration with other team members.
• Experience working with sensitive and/or encrypted data is preferred.

REQUIREMENTS:

• 5+ professional experience in a data quality or ETL role, someone with high energy and creativity and an openness to new ideas/approaches.
• Post secondary degree in quantitative or science discipline such as statistics, economics, applied mathematics, quantitative methods, operations research, research methodology, etc.
• Comprehensive understanding of quantitative methods and extreme attention to detail.
• Previous experience in the e-commerce and/or credit card domain preferred.
• Strong proficiency in SQL.
• Proven problem solver with excellent written and oral communication skills
• Knowledge of credit card processing, payment fraud prevention techniques, and e-commerce procedures are an advantage
• Ability to effectively influence and communicate cross-functionally with all levels of management within Ethoca
• Self starting, proven leader with strong analytical skills, capable of challenging and inspiring a talented and diverse team
• Team player with exceptional interpersonal skills
• Hard working, detail-oriented, and well organized
• Fluent English required

If interested in a challenge and driven to take fraud-risk management to the next level it’s time you joined Ethoca. To apply, please forward your resume to recruiting@ethoca.com with your name and title of the position in the subject line.

URL: www.datashaping.com/jobs17248x.shtml
Please mention datashaping.com when applying. Thank you.

Marketing Analytics Specialist/Statistician - Cogent Research (Cambridge, MA)

The Opportunity

Cogent Research is an innovative marketing research firm providing custom and syndicated research, thought leadership and evidence-based consulting services to Fortune 500 customers in the financial services, investment services, life sciences and healthcare industries.

We transform quantitative and qualitative data insights into actionable marketing strategies that help our customers manage the competitive landscape and move their brands and businesses forward. Typical research areas include customer experience, brand equity and positioning, customer loyalty and retention, product usage and awareness and purchase design process, to name a few.

With more than a decade of year-over-year growth and a prestigious client roster, we continue to expand our research offerings. To build on this success, we are seeking an experienced marketing research statistician to fill a key role in our Analytics practice.

The Marketing Analytics Specialist is fluent in advanced statistical modeling techniques and the application of these techniques and methodologies to the analysis of primary market research data. This underscores our ability to deliver cutting-edge marketing insights that our clients can use to advance their products, services and businesses.

Responsibilities

You will be responsible for the recommendation and execution of statistical techniques that address each project’s research objectives as well as the on-going development of analytic tools and methodologies. On a day-to-day basis you will:

• Analyze survey data sets utilizing a variety of statistical methodologies including but not limited to regression analysis (OLS, logistic, WLS), cluster analysis, decision trees, conjoint analysis, data reduction techniques and predictive/behavioral modeling.
• Translate this analysis into actionable insights easily understood by our clients.
• Ensure the quality and consistency of the data environment, processing steps and deliverables.
• Monitor and evaluate innovations in statistical and market research tools and methodologies.
• Provide statistical guidance, consulting and programming to internal clients to define and meet research objectives.
• Turn analytic output into graphical representation and provide technical expertise to non-technical audiences.
• Actively participate in cross-functional teams, providing analytical expertise, offering original perspectives, and challenging conventional views to deliver strategic recommendations.
• Some overnight travel may be required.

Qualifications

You will be a strong self-motivator who can work independently and as a team contributor. You will have an aptitude for creative, out-of-the box thinking and the ability to apply cutting-edge techniques to deliver high impact results. In addition, your background will include the following:

• 7+ years of experience applying statistical analysis and methodologies in a marketing research environment.
• A graduate level degree in a quantitative field (mathematics, statistics, social sciences) is strongly preferred.
• Hands-on experience with attitudinal survey measurement and analysis.
• Demonstrated ability to apply a variety of advanced statistical modeling techniques to develop marketing insights, recommendations and hypotheses.
• Well-developed organizational and project management skills.
• Excellent communication skills and the ability to utilize them effectively with both internal and external audiences.
• Fluency in one or more statistical analytic packages such as SPSS or SAS.
• Proficiency with Microsoft PowerPoint, Word and Excel.

Benefits

We offer ambitious individuals a challenging but supportive work environment built on the values of ownership, accountability, collaboration, diversity and work/life balance.

Compensation includes base salary plus bonus and a comprehensive benefits package (medical, dental and disability insurance, 401k with match, FSA, holiday, vacation and sick time and on-going professional development).

Email your resume, cover letter and salary requirements to job@cogentresearch.com or Apply Online.

Cogent Research is an Equal Opportunity Employer and encourages all qualified candidates to apply. Applications from 3rd party recruiters will not be accepted.

URL: www.datashaping.com/jobs17246x.shtml
Please mention datashaping.com when applying. Thank you.

DataShaping Job Alert - April 2008

News from our Network

• Post your resume on DataShaping and start receiving email from recruiters and hiring managers. See AnalyticResumes.com for details.
• Earn our Analytic Certification, at no cost. See datashaping.com/certified.shtml for details.
• Interested in checking our web traffic statistics? Click here. Also note that our featured job ads are now published on AnalyticBridge.com and AnalyticTalent.com.
• DataShaping has finalized contracts with two major job boards. As a result, we are experiencing strong growth.
• Do you want to talk to recruiters directly? Then join AnalyticBridge, make new connections, find a new job, and be eligible to win $250 if you sign up before April 25th (one award offered each month for the best profile on AnalyticBridge). Click here for details. Sign up here.
• Coming soon: read interviews with leading experts in various analytical fields, on AnalyticBridge. If you have connections with analytic professionals who might be interested in participating (and be eligible to win our $250 monthly award), please invite them on AnalyticBridge and forward this invitation.

Featured Jobs

• Senior Web Analyst - CafePress (Foster City, CA)
• Manager, Marketing Analysis (Wilmington, DE)
• Operations Analysis Technician - Georgia Department of Education (Clarkston, GA)
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• Manager of Testing and Measurement - PetSmart (Phoenix, AZ)
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• Database Programmer - Fred Hutchinson Cancer Research Center (Seattle, WA)
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• Membership Information Data Manager - American Dental Association (Chicago, IL)
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• Investment Data Analyst (Baltimore, MD)

Vincent Granville, Ph.D.
Founder and Principal
www.datashaping.com
www.analyticbridge.com

Senior Web Analyst - CafePress (Foster City, CA)

Critical to the growth of CafePress.com and reporting to the Senior Director of Analytics, the Senior Web Analyst is responsible for developing and interpreting data from CafePress’ numerous finance, marketing, and product development programs, delivering incisive reporting and compelling presentations, enabling strategic business decisions that will significantly impact revenue. (Yes, your work will have an impact on our top line!)

CafePress’s business encompasses consumer internet retailing, B2B eCommerce services and manufacturing operations. With literally millions of products, millions of shopkeepers, and tens of millions of customers, the insight you are able to provide through your sophisticated analysis of our customers online behavior will play a key role in our ability to understand, target, and ultimately serve our customers. This individual will be the “go to” person to whom Cafepress will depend upon to concisely and effectively divine and articulate the drivers that most influence our business. (You will be highly sought after; people will miss you terribly when you go on vacation!)

• Drive data-driven insights on visitor behavior by analyzing website data on traffic patterns, conversion funnel and navigation behavior for websites.
• Proactively identify opportunities and make recommendations to improve web site effectiveness via data mining and analysis to understand user interactions with site and to scope out opportunities to increase user engagement and satisfaction
• Participate in web site projects as a measurement expert, liaising with the engineering team and other cross-functional departmental constituents (marketing, product, finance) to identify reporting requirements, monitor the reporting implementation, and evaluating post-launch metrics. Identify, analyze and resolve problems related to automated systems and operations.
• Synthesize data and Proactively share research findings and best practices with key stakeholders including customer insights, benchmarking, and industry updates.
• Manage key metrics to measure website performance and maintain dashboards and general reporting activities.
• Participate in additional business intelligence activities related to data analysis.
• Marketing program effectiveness
• Revenue segmentation and channel analytics and effectiveness
• Competitive intelligence and industry market analysis
• Develop reports and ad-hoc analyses that help Cafepress understand marketing performance, site metrics, traffic patterns, and opportunities for improvement.

Experience & Skills:

• 5 or more years as a Web Analyst with strong analytical experience and broad understanding of web analytics tools (Omniture, Web Trends, or Coremetrics) as well as experience with CRM systems and relational databases
• Must be able to clearly articulate key findings to the appropriate audience and evangelize the use of analytics to drive change, marrying data analytics with sound business insight and judgment
• Experience with rigorous statistical analyses
• Extensive experience analyzing consumer behavior, site usage and performance
• Must have eCommerce and/or retail industry experience
• Intellectual horsepower to comprehend the complex and synthesize into the simple; love the challenge of solving three dimensional problems and the seeing the results of your work put into action
• Strong client-orientation for working with internal customers
• Self motivated leader and motivator who delivers results with minimal supervision
• Strong analytical skills and ability to translate metrics into actionable proposals
• An expert at MS Excel and Powerpoint
• A bachelors degree in economics, finance, marketing, statistics, or other technical subjects; a Masters degree is strongly preferred
• SQL experience a plus, specifically gathering data from SQL Server queries
• Familiarity with MicroStrategy BI suite is also a plus

This is an extraordinary opportunity to own the web analytics capability at CafePress and join the market leader in a consistently profitable, fast growing marketplace.

Email resume to: ncook [at] cafepress.com, with reference number: Senior Web Analyst - GBIA-004 .

URL: www.cafepress.com/jobs

URL: www.datashaping.com/jobs17211x.shtml
Please mention datashaping.com when applying. Thank you.

Operations Analysis Technician - Georgia Department of Education (Clarkston, GA)

Company Name: Georgia Department of Education
Job Duration: Indefinite
Required Travel: None
Position Title: Operations Analysis Technician
Industry: Education / Teaching / Administration
Min Education: Associates Degree
Location(s): Clarkston, Georgia, United States
Posted: April 9, 2008
Min Experience: 2-3 Years
Job Function: Other
Job Type: Full-Time
Salary - Type: Yearly Salary
Entry Level: No
APPLY FOR THIS JOB
Contact Person: Bobbie Little
Email Address: blittle [at] doe.k12.ga.us

Georgia Department of Education

Job Announcement

Announcement: AASD 08-02
Apply by: Until Filled
Position Title: Operations Analysis Technician (12-month position)
Position: # 00055607
Location: Atlanta Area School for the Deaf
890 Indian Creek Drive
Clarkston, Georgia 30021
Program/Unit: State Schools/Office of Policy and External Affairs

Description of Duties:

Under general supervision, collects and organizes Atlanta Area Schools for the Deaf (AASD) student data and conducts data analysis using student information software applications. Duties including assisting in the preparation of data for FTE and Student Record reporting; preparing and submitting recurring and on-demand student data reports within established timeframes including student demographics and historical enrollment trends, demonstrating knowledge of student information applications and programs; providing technical assistance to management and staff; monitoring and analyzing student information systems applications to maintain clean and accurate data; providing training for staff on current student information system programs and applications; maintaining knowledge of current trends and developments in the field of student data collection by reading appropriate books, journals and other literature and attending related seminars and conferences; and other duties as assigned.

Minimum Qualifications:

Completion of 90 quarter (60 semester) hours of coursework at a college or university which included at least one course in mathematics, statistics, research methods or a related field. Note: two years of experience which included report writing and data collection, tabulation, computation and analysis may be evaluated as equivalent in substitution for education for most positions.

Preferred Qualifications:

• Training and experience leading to demonstrated competencies in collecting and compiling student information related data at a school level (K-12).
• Possesses knowledge of data collection, coding, and reporting procedures and proficiency in operating or utilizing data collection software.
• Competency in locating and recognizing pertinent information on maps, graphs, or charts quickly and accurately; in reading and interpreting technical manuals and instructions related to the job; and in completing job related forms or reports.
• Possess sign language skills at the advanced level.

Salary/Benefits:

Pay Grade 10- Annual salary range $22,077.93 (minimum) to $38,661.83 (maximum). Starting salary dependent on current employment, training and experience. Benefit options include life, disability, dental and health insurance; annual/sick leave; and Employees’ Retirement or Teachers Retirement.

Submit a Georgia School for the Deaf Application* or State of Georgia Application to:

Personnel Office
Attn: Ms. Bobbie Little
Atlanta Area School for the Deaf
890 North Indian Creek Drive
Clarkston, Georgia 30021
Telephone: 404-296-7101
Internet address: www.gadoe.org
E-mail: blittle [at] doe.k12.ga.us

Consideration/interviews will begin as soon as a list of applicants is established. Applications/resumes will be evaluated, and only those meeting the qualifications will be considered. Top candidates will be contacted for interviews.

In accordance with Public Law 99-603, also known as the Immigration Reform and Control Act of 1986, the Department of Education employs only U.S. citizens and lawfully-authorized alien workers. All persons hired by the Georgia School for the Deaf are required to verify identity and employment eligibility and will undergo a criminal background investigation.

*An employment application may be obtained from the Personnel Office of the Georgia School for the Deaf. Resumes/applications should include daytime telephone number and prior employment history with addresses and telephone numbers. If a resume is submitted, it must be accompanied by a cover letter.

An Equal Opportunity Employer

URL: www.datashaping.com/jobs17206x.shtml
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Manager, Marketing Analysis (Wilmington, DE)

Manager – Marketing Analysis
Open Market Acquisition Analysis

This position will work directly with the marketing team on analysis related to campaigns. Specific roles include base P&L forecast development, new product development, test analysis and targeting and segmentation analysis. The position will be primarily responsible for driving the accuracy, transparency and speed at which we can perform financial analysis for marketing decisions. The analyst will manage the relationship and prioritization of the analysis across various applications; Targeting, financial forecast, and product/list testing.

Responsibilities

• Base Case P&L Development: Quarterly updates of all base case P&Ls, allowing for transparency of results to the P&L owners as well as improving the speed and accuracy at which they are produced
• New Product Development: Either for the purpose of revamping an existing product or for better targeting with a current base, working with the Segment Managers to enhance our value propositions for open market campaigns
• Segmentation: The creation of relevant segmentation methodologies to maximize both acquisitions and portfolio opportunities
• Assumption Management: Ensuring that all financial and forecast assumptions that flow into the targeting and forecasting processes are accurate and up to date.
• Impact Analysis: Alongside all recommendations, a thorough understanding of the full business financial impact and understanding month to month changes in the Partnership business forecast

Qualifications

• Bachelor’s Degree and 2 to 4 years of experience with analytics in Bank Cards or 5 or greater years of experience with analytics in Bank Cards
• Basic understanding of credit card P&L
• Proficient in SAS, Excel, Powerpoint;
• Strong entrepreneurial skills
• Solid understanding of marketing concepts and the ability to apply them to the complex factors which shape the industry
• Strong written and verbal communication skills
• A results-oriented person

Email resume to: lmgleason [at] recruitmentresource.us

URL: www.datashaping.com/jobs17207x.shtml
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Business Analyst - Rail Europe Group (White Plains, NY)

Company Description:
Rail Europe is the leading North American supplier of European rail and related travel products. The company offers the most comprehensive selection of European rail products on the market, including single- and multi-country rail passes, Rail `n Drive products, point-to-point rail tickets, high-speed and scenic trains, sleepers, reservations and other rail-related products for use throughout continental Europe and the U.K. - a total of 35 countries. Equal Opportunity Employer.

Summary Work with business users, managers, and 3rd party partners, to define requirements and develop systems solutions using internal project process procedures and guidelines. Assist with overall project management of the software versions



Essential Duties and Responsibilities include the following. Other duties may be assigned.

Assists project manager with project plans specifying goals, strategy, staffing, scheduling, identification of risks, contingency plans, and allocation of available resources.

Participates in the formulation and definition of the scope and objectives of project.

Details functional solutions and detail specifications for projects.

Follows project plan and ensures standards and procedures defined as defined.

Confers with project personnel to resolve problems.

Coordinates and responds to requests for changes from original specifications.

Ensures the development of quality test plans for functionality specified

Contributes to the testing campaigns.

Contributes to change management.

Assists with project management wherever possible.

Qualifications

Bachelor's degree or one to two years related experience or equivalent combination of education and experience.

3-4 years analyst experience.

Knowledge of MS Project, MS Word, MS Excel and PowerPoint are recommended.

Quick learner - quick gain knowledge on new systems and changing environment.

Speaks clearly and persuasively in positive or negative situations; listens and gets clarification.

Responds well to questions, demonstrates group presentation skills, participates in meetings and creates concise and clear documentation.

Contributes to building a positive team spirit.

Exhibits confidence in self and others; Inspires and motivates others to perform well.

Knowledge of the tourism industry is a plus.



Job Response Information:
Send Resumes with salary range and reference to Business Analyst 1 in subject line to: ADRPCM49304@net-apply.com

URL: www.datashaping.com/jobs17203x.shtml
Please mention datashaping.com when applying. Thank you.

Project Management Office Manager - Rail Europe Group (White Plains, NY)

Company Description:
Rail Europe is the leading North American supplier of European rail and related travel products. The company offers the most comprehensive selection of European rail products on the market, including single- and multi-country rail passes, Rail `n Drive products, point-to-point rail tickets, high-speed and scenic trains, sleepers, reservations and other rail-related products for use throughout continental Europe and the U.K. - a total of 35 countries. Equal Opportunity Employer.



Essential Duties and Responsibilities include the following. Other duties may be assigned.

Build and maintain the yearly IT production plan in coordination with team leader

Calculate staffing needed, issue staffing KPIs

Match forecast versus actual and inform management of differences

Build and maintain the IT project portfolio

Record new projects and validate staffing in coordination with team leasers

Validate overall project follow-up/methodology

Follow-up document database

Assess and improve document processes quality

Follow-up contract base and plan and issue warning when contracts expired

Ensure customer contracts are up to date

Assist, log or/and answer customers requests

Chair a monthly customer review meeting

Coordinate timesheet with Finance department

Assist in billing activities of customers

Coordinate with team leader project initiation

Capture high level requirements for system versions

Coordinate estimates between teams and define with customers function scope of projects

Establish a yearly roadmap for Project Management Office

Coordinate the governance of the information system

Lead studies relative to improvement of Project Management Office or IT business processes

Qualifications

Bachelor's degree or one to two years related experience or equivalent combination of education and experience

1-2 years Project Management experience

Experience in Project Management Office or Resources Plan Management

Knowledge of Excel, MS Project and PowerPoint in mandatory

Quick learner - quick gain knowledge on new systems and changing environment

Communicates changes and progress

Can manage project team activities

Manage difficult or emotional customer situations, responds promptly to customer needs and solicit customer feedback to improve service

Able to responds to requests for service and assistance and meets commitments

Speak clearly and persuasively in positive or negative situations

Demonstrate group presentation skills and participate in meetings

Contribute to building a positive team spirit

Exhibit confidence in self and others and inspires and motivates others to perform well

Knowledge of tourism industry is a plus

Fluency in French is a plus



Job Response Information:
Send Resumes with salary range and reference to Project Management Office Manager 2 in subject line to: ADRPCM816691@net-apply.com

URL: www.datashaping.com/jobs17202x.shtml
Please mention datashaping.com when applying. Thank you.