Metrics and Reporting Analyst- Claims Team

Metrics and Reporting Analyst - Employee Benefits Claims Team

At Equitable, our power is in our people. We value diversity and aim to create a team that brings together individuals from different cultures and backgrounds. Those differences make us stronger as a team and enable us to be a force for good in our communities. We invite you to join this dynamic environment where you can build your skills and explore new ways of working and thinking.

We are seeking an experienced professional to support metrics and reporting needs for the Employee Benefits Claims organization. This role involves internal and external reporting for Short‑Term Disability (STD), statutory disability programs, and state PFML products/services. Over time, scope will expand to include life insurance, long‑term disability, supplemental health products (accident, critical illness, hospital indemnity, wellness benefits), dental, and vision. The candidate must help deliver the Employee Benefits “Powerfully Simple” vision, and develop a rigorous metrics and reporting strategy.

• Leverage extensive knowledge of relational databases to develop processes that automate reporting efforts for the Employee Benefits Claims organization.
• Help drive strategic thinking of management by delivering insights that require in‑depth analysis and personal initiative.
• Support development of management dashboards to highlight key issues for the leadership team.
• Author discrete sections of packages and communications of results, often for leadership audience.
• Track and analyze outcomes and impact of various initiatives post‑implementation.
• Work across the organization to identify data needed to analyze business at a granular level, obtaining available data through existing tools (financial, customer/producer, operation, expense, and risk drivers of profitability).
• Assist with development of strategic roadmap, identifying opportunities to leverage data and technology to enhance client relationships, retention, and acquisition.
• Partner with internal and external partners to assist with development of a claims data strategy.
• Liaise with Finance, Operations, IT, Product and other key data sources to identify trends, risks and opportunities and provide clear, concise and actionable insights.
• Develop and maintain staffing models for claims resources and associated support functions.
• Partner with external data and AI‑focused vendors to track technology initiative outcomes and results.

The base salary range for this position is $75,000 – $85,000. Actual base salaries vary based on skills, experience, and geographical location. Equitable provides performance‑based compensation through base salary increases, spot bonuses, and short‑term incentive opportunities. Eligibility for these programs depends on level and functional area of responsibility.

For eligible employees, Equitable provides a full range of benefits, including medical, dental, vision, 401(k), and paid time off. For detailed descriptions of these benefits, please reference the Equitable Total Rewards Program.

• 3+ years of direct experience with claims reporting in an Employee Benefits / Group Insurance setting.
• 2+ years of experience with Excel, Access, Tableau, SQL and/or other relational databases.
• 2+ years of experience with data analysis, including setting up relational databases, querying, manipulating and cleaning data sets.
• Specific prior experience supporting one or more of the following products: group dental, vision, life insurance, short/long term disability, statutory benefits, paid family leave, and/or supplemental health offerings.

• Experience with FINEOS claims software preferred but not required.
• Experience with machine learning and Artificial Intelligence initiatives and associated reporting.
• Ability to work in a fast‑paced environment, managing multiple projects and priorities.
• Strong written and oral communication skills, translating complex technical topics into clear, concise statements.
• Ability to work independently when sourcing data/information and tackling highly technical tasks.
• Comfortable…