Informatics Analyst / Data Miner - Cigna (Bloomfield, CT)

SUMMARY OF RESPONSIBILITIES

The Informatics Analyst / Data Miner will be a key member of the Consumerism Informatics group. This group is responsible for delivering breakthrough consumer insights through analytics and quantifying important consumerism metrics and indices. The team acts as internal consultants who provide research, analysis, and individually-derived insights to CIGNA's product and marketing teams and other key stakeholders. This team is also responsible for connecting analytic insight to operational activities to maximize consumer loyalty and engagement. Key colleagues include leaders in clinical informatics, employer consulting, strategy and product development, marketing and IT. Research and actionable information stemming from the Consumerism Informatics team is highly valued as a critical success factor for the organization and has a direct and immediate impact on the success of the business.

The Informatics Analyst / Data Miner will take a hands-on approach to analyzing business problems, recommending and developing new metrics and methodologies, designing and executing analytic research and recommending actions to clients and stakeholders. Statistical analysis, predictive modeling, data mining and business optimization are among the functions the analyst will perform. In addition to delivering specific research requests and project initiatives, he/she will be charged with proactively uncovering opportunities for further business-development and product innovation and with presenting & rationalizing his/her findings to business partners.

QUALIFICATIONS

The ideal candidate will have an advanced degree and 5-7 years experience developing and using advanced analytics (statistics/ data mining) within consumer-oriented organizations.

• Masters Degree required, Ph.D. preferred. Academic background in Applied Mathematics, Statistics or Computer Science with experience in the healthcare business and consumer-oriented organizations would be ideal.
• Outstanding knowledge and experience in statistical analysis and applicable analytic tools, such as SAS, is necessary. Expertise in data mining, predictive modeling techniques and corresponding tools, would be a big plus.
• Experience in working with large-scale complex databases, particularly in a healthcare business, would be considered highly.
• Prior experience in uncovering consumer behaviors and motivations that result in breakthrough business insights, would be ideal. This includes use of consumer segmentation tools and market research databases to analyze and predict consumer behaviors, preferences and choices.
• Solid track record of designing, executing, interpreting and delivering insightful and actionable research, is necessary.
• Candidate should possess excellent organizational skills to facilitate the coordination and completion of multiple and varied projects, as well as written and oral communication skills that allow clear and concise presentation of conclusions and recommendations to a variety of audiences.
• Ideal candidate will be a self-starter with the ability to be effective in a large, complex and highly matrixed organization.
• Candidate should be able to provide technical and functional requirements design assistance and work with IT to scale prototypes and put models into production.

Contact: kathleen.mcfadden [at] cigna.com

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