To develop and deliver decision support tools, reporting applications, insights and business intelligence based on advanced analyses and studies to support health care policy, benefits and operational decision making by Aetna internal and external constituents. This involves extracting, collecting, analyzing and interpreting health, utilization and financial data from many sources to address business questions regarding population health management, health and economic outcomes, quality of healthcare, healthcare program and product design, healthcare provider network design and other business needs.
These activities require advanced technical, analytic and consultative skills, extensive knowledge of health care data and information systems, as well as an understanding of epidemiology, health care benefits, health care financing and health care delivery systems.
Performs applied statistical research and custom analysis of integrated healthcare data, interprets results, and makes recommendations based on analytic findings to business areas.
Makes recommendations about data collection methods, metrics definition and evaluation methods.
Presents analytic reports to clients and stakeholders.
Defines and delivers analytical solutions in support of healthcare business initiatives that drive short and long term objectives.
Collaborates with internal and external partners and organizations in the design and execution of analytic studies to answer business and research questions.
Designs and conducts analyses and outcome studies using healthcare claims, pharmacy and lab data, employing appropriate research designs and statistical methods.
Develops, validates and executes algorithms, statistical models and reporting tools that answer applied research and business questions for internal and external clients.
Develops and participates in presentations and consultations to existing and prospective constituents on information services, capabilities and performance results.
Stays informed about industry trends, research findings and evaluation methods.
Turns analysis into business/customer solutions.
Creates business applications to deliver clinical or analytic solutions to constituents
Manages personal resources efficiently to achieve constituent satisfaction.
Responsible for project commitments to quality and on-time deliverables.
Ability to manage conflicting priorities and multiple projects concurrently
Willingness to understand and probe into technical details.
Contributes to a motivated work environment by working effectively to achieve common goals.
Creates and evaluates the data needs of assigned projects and assures the integrity of the data.
Under general direction, independently executes analyses or reports to meet project needs.
May mentor other analysts.
Five or more years of health research, epidemiology or pharmaceutical industry analytic experience.
Demonstrated project management and/or team lead experience.
Demonstrated extensive and diverse knowledge of health care data, metrics, systems and standards; demonstrated subject matter expert in multiple subject areas.
Able to make sound decisions and recommendations to drive business solutions.
Ability to communicate statistical and technical ideas and results to non-technical clients in written and verbal form.
Health care analysis, health economics, epidemiology, or health services research experience.
Well-versed in statistical model building and concepts, decision trees and classification rules, segmentation and cluster analysis.
Advanced SQL and SAS programming abilities in data warehouse or big data analytics environment, including use of statistical analysis techniques or business intelligence application development.
Knowledge of analytic programming tools and methods (SAS, SQL, OLAP, Business Objects, Crystal).
Strong collaboration and communication skills within and across teams.
Strong problem solving skills and critical thinking ability.
Understanding of relational databases, data systems and data warehouses.
Strong reporting skills using Excel, Access, Word and/or PowerPoint.
Expert knowledge of clinical risk adjustment, multivariate analyses, epidemiology or health economics research methods.
Strong understanding of customers strategies, information needs programs, processes and products.
Experience in working in a data warehouse environment as well as the ability to work with large data sets from multiple data sources.
Knowledge of other reporting platforms such as: Business Objects, Microsoft Access, web development technology, big data analytics, data mining, Visual Basic.
The highest level of education desired for candidates in this position is a Bachelor's degree or equivalent experience.
ADDITIONAL JOB INFORMATION
Aetna is about more than just doing a job. This is our opportunity to re-shape healthcare for America and across the globe.
We are developing solutions to improve the quality and affordability of healthcare. What we do will benefit generations to come.
We care about each other, our customers and our communities. We are inspired to make a difference, and we are committed to integrity and excellence.
Together we will empower people to live healthier lives.
Aetna is an equal opportunity & affirmative action employer. All qualified applicants will receive consideration for employment regardless of personal characteristics or status. We take affirmative action to recruit, select and develop women, people of color, veterans and individuals with disabilities.
We are a company built on excellence. We have a culture that values growth, achievement and diversity and a workplace where your voice can be heard.
Benefit eligibility may vary by position. Click here to review the benefits associated with this position.
Aetna takes our candidates's data privacy seriously. At no time will any Aetna recruiter or employee request any financial or personal information (Social Security Number, Credit card information for direct deposit, etc.) from you via e-mail.
Any requests for information will be discussed prior and will be conducted through a secure website provided by the recruiter. Should you be asked for such information, please notify us immediately.