Sr. Financial Analytics Professional

Accountabilities •

Lead data analysis, validation, and regulatory reporting activities for Individual Medicare Advantage Supplemental Benefits, ensuring data accuracy, consistency, and compliance.

•

Own supplemental benefit data logic and coordinate the integration of information across multiple vendors, databases, and systems.

•

Manage end-to-end data processes supporting regulatory reporting, actuarial pricing, financial forecasting, and performance management.

•

Monitor emerging experience and produce monthly Actual-to-Expected (A2E) reports to identify variances, evaluate trends, and support financial decision-making.

•

Analyze complex datasets to explain performance fluctuations, improve forecasting accuracy, and provide actionable insights to business partners.

•

Develop, maintain, and optimize database solutions, reporting tools, and summary dashboards to support scalable analytics and reliable decision-making.

•

Lead automation and continuous improvement initiatives that enhance reporting efficiency, improve data quality, and minimize operational risks.

•

Exercise independent judgment when determining technical approaches, setting project objectives, and resolving complex analytical challenges.

•

Collaborate with finance, actuarial, and other business stakeholders to translate analytical findings into practical recommendations and strategic improvements.

Requirements

•

Education: Bachelor's degree required. A master's degree is preferred.

•

Technical experience: At least five years of experience working with database programs, reporting tools, dashboards, or comparable analytical technologies.

•

Data analytics: Demonstrated experience compiling, modeling, interpreting, validating, and analyzing data to identify and explain variances and trends.

•

Analytical problem-solving: Ability to evaluate moderately complex to highly complex business situations, assess multiple variables, and develop appropriate analytical approaches.

•

Reporting and modeling: Experience improving modeling techniques and translating analytical results into clear, actionable insights.

•

Financial or actuarial knowledge: A background in finance or actuarial science is preferred, particularly for candidates familiar with pricing, forecasting, or healthcare financial analytics.

•

Project management: A project management certification is an advantage.

•

Technical capabilities: Ability to develop and maintain reporting solutions, improve data processes, and support automation initiatives.

•

Communication and collaboration: Strong judgment and the ability to communicate findings effectively, work across business functions, and operate independently with minimal supervision.

•

Remote work readiness: Ability to maintain a dedicated, interruption-free workspace and a reliable internet connection that meets the minimum requirements of 25 Mbps download and 10 Mbps upload.

•

Additional eligibility: This is a remote position, but occasional travel to office locations for meetings or training may be required. The role is not eligible for work visa sponsorship.

Benefits

•

Annual salary: $89,000–$121,400, depending on qualifications, experience, skills, and geographic location.

•

Performance incentives: Eligibility for a bonus incentive plan based on individual and/or organizational performance.

•

Remote flexibility: Work remotely, with occasional travel for meetings or training.

•

Healthcare coverage: Medical, dental, and vision insurance options.

•

Retirement planning: Access to a 401(k) retirement savings plan.

•

Paid time off: Paid leave, company holidays, and personal holidays.

•

Family support: Paid parental and caregiver leave.

•

Financial protection: Short-term and long-term disability coverage and life insurance.

•

Professional impact: Opportunities to lead complex analytics initiatives, improve enterprise reporting processes, and contribute to strategic financial and actuarial decisions.

•

Work-life support: Benefits designed to support employee well-being, personal wellness, and family needs.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1