Senior Manager in Data Science & Analytics leading analytics strategies at Circle K. Collaborating with teams to enhance customer experience and loyalty programs.
About the role
- Actuarial Data Manager leading and mentoring data analysts in health sector financial objectives and analyses. Overseeing data quality and assisting with financial forecasting and reserving.
Responsibilities
- Development of departmental data
- Ensuring data quality for Actuarial analyses
- Assisting with architecture development and monitoring of corporate data (EDW)
- Assisting with reserving, trend setting, and financial forecasting
- Manage, coach and mentor staff Data Analysts
Requirements
- 6+ years related work experience. Experience Details: managed care/health insurance industry experience
- 3+ years’ direct supervisory/management experience
- Related Bachelor’s degree or additional related equivalent work experience
- Strong background in SAS, SQL, mainframe, and Unix
- Ability to provide technical guidance and training to other members of the Actuarial Department
- Ability to lead analysis teams or projects
- Demonstrated working knowledge of major BCBSF information systems (financial, payment claims, enrollment, income and their interrelationships
- Proficiency in testing and validation of analyses
- Experience with developing financial analytical techniques (e.g., IBNR setting or predictive modeling)
- Experience with provider payment strategies (e.g., capitation, care network, arrangements, DRG reimbursement)
- Established interpersonal skills and professionalism
- Demonstrated proficiency in software (regardless of hardware platform) to include spreadsheet, word processing products, data base manager products, user development/corporate production programs and applications
- Proven ability to solve problems creatively and in a team-based environment
- Proven ability to engage upper management (Directors, Vice-Presidents) on information-critical issues
- Proven ability to influence data architecture decisions regarding the sourcing of, data modeling, and final design of Enterprise-wide Information.
- Proven ability to engage external information companies to create benchmarking information, and research and develop new methods and tools for analysis
Benefits
- Medical, dental, vision, life and global travel health insurance;
- Income protection benefits: life insurance, short- and long-term disability programs;
- Leave programs to support personal circumstances;
- Retirement Savings Plan including employer match;
- Paid time off, volunteer time off, 10 holidays and 2 well-being days;
- Additional voluntary benefits available;
- A comprehensive wellness program
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