The Retail Banking group is seeking an individual with strong reporting, analytics and data skills for the Incentive Management Team. This lead position supports our strategy to build a dynamic incentive analytics and information delivery which will include developing incentive process effectiveness metrics, identifying opportunities for incentive plan improvements through regressions analysis and hypothesis setting, developing incentive dashboards, implementing effective reporting tools, and other various quantitative analyses in support of tactical and broad strategic initiatives. Reporting solutions should be delivered through a variety of online processes and tools. The incumbent will partner closely with finance, rewards and business management and participate in the selection of data/databases and interpretation of analytical findings. The successful candidate will have demonstrable experience in statistical analysis and use of market and financial information.
Description:
- Creates new internal reporting processes and analytical reports to improve information resources available to top management
- Provides monthly report and ad hoc requests
- Creates and maintains dashboards of incentive performance
- Performs complex analysis and advises management on data interpretation on incentive plan performance
- Evaluates analytical findings and existing systems to interpret data and develop meaningful results
- Contributes to the development of new concepts, techniques and standards
- Develops solutions to complex problems which require the regular use of ingenuity and innovation. Ensures solutions are consistent with organization objectives.
- Conducts hypothesis settings and the formulation of new or revised components within an incentive plan
- Provides reports of operational metrics for the customer service and pay file groups
- Keeps current on software and hardware technology affecting the industry, and recommends consideration and adoption of such to improve productivity and cost effectiveness of the department
- Provides guidance to lower level analysts
Requirements:
- Minimum of 7+ years experience in financial analyses, financial reporting, financial modeling and techniques relating to statistical modeling
- Demonstrate problem solving skills and significant analytical accomplishments
- Ability to rapidly create hypothesis for problem solutions; gather, structure and perform data analysis; and translate analytical results into value-added insights
- Aptitude to efficiently learn and employ new tools to access and manipulate data
- Excellent statistical skills and data mining skills as well as experience working with large relational databases
- Ability to handle multiple projects simultaneously
- Excellent written and verbal communication skills including ability to translate technical information to non-technical audience
- Proven team player and ability to work well with people with different functional backgrounds
- A comprehensive knowledge of financial products and services preferred
- Proficient in Microsoft Word, Excel, Access, Project, Visio and SQL
- Bachelor’s degree in finance, economics, business or related quantitative discipline
Email your resume to Lana McCalmon at lana.mccalmon@wamu.net.
URL: www.datashaping.com/jobs15552x.shtml
Please mention datashaping.com when applying. Thank you.
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