Role Description This role sits at the intersection of core actuarial pricing work, analytical problem‑solving, and process enablement. You’ll support rate indications, pricing tools, filings, and recurring reporting, while also investigating pricing results and business questions through hands‑on analysis. You’ll spend meaningful time improving how work gets done through Excel/SQL automation and emerging AI‑enabled workflows. This role is ideal for someone seeking early exposure to real pricing decisions who enjoys solving problems, working with data, and making processes faster, cleaner, and more scalable. Qualifications - Bachelor’s degree required, preferably in actuarial science, mathematics, or a related field. - Successful completion of at least three (3) CAS examinations is required. - A minimum of two (2) years of actuarial experience required, preferably in the P&C industry. Requirements - Prepare rate reviews and indications, including key actuarial assumptions, and communicate results to underwriting leadership through clear written summaries and presentations. - Support rate filings and rate page development for workers’ compensation and other commercial lines, including responding to state regulator questions or objections. - Assist with rate filing execution and governance by tracking review schedules, coordinating with Product Filings, and reviewing filings for completeness and quality. - Test, validate, and support pricing tools and tables, including identifying test scenarios, validating downstream system impacts, investigating issues, and documenting results to support reliable implementation and ongoing use. - Assist with predictive model support and analytics-driven initiatives by preparing and reviewing data, validating outputs, and helping ensure models align with pricing and underwriting objectives. - Identify and implement opportunities to improve efficiency by automating recurring reports, testing processes, and manual workflows using Excel, SQL, VBA, and emerging AI-enabled tools. - Build and maintain documentation to support repeatable analytical processes, testing standards, and smooth handoffs as tools and workflows evolve. - Independently gather and organize data and perform analyses for pricing, loss reserving, product development, reinsurance, capital management, and/or other financial or business purposes. Make recommendations and present findings to appropriate audiences. - Complete rate review analyses including calculation of rate indications and various actuarial assumptions, communicating to underwriting leadership in both written and presentation formats. Lead rate review meetings and facilitate decisions. - Independently compile rate pages and rate filing support for workers compensation and/or other lines of business. Respond to questions or objections from state insurance departments. - Provide oversight for the rate filing process including monitoring of the rate review schedule and working with Product Filings on timelines and procedures. Monitor quality of rate filings. - Provide commentary for various reports. Monitor management reporting metrics and report on unexpected variances. Participate in the development of new reports and tools for the department. - Monitor deployment of predictive models. - Independently update assumptions, parameters, and formulas in pricing and reserving tools. - Combine data from multiple sources to fulfill financial data call reporting requirements. Use bureau tools and forms to validate and submit financial call data. Research and resolve rating bureau inquiries, criticisms, and error reports related to financial data calls using appropriate combination of explanation and error correction. - Assist Regulatory Reporting for Financial Calls requiring Actuarial assistance. Review data and processes that impact financial data call reporting, recommend improvements, and implement solutions. - Complete quarterly reserve analyses for assigned segments, and statutory schedules (Schedule P, Schedule X) as required. - Assist with updating the Capital Model. - Perform ad hoc projects as required. Meet required deadlines. Document work performed. - Represent Actuarial in meetings with business partners. - Exercise discretion when communicating outside of the department and maintain confidentiality of information processed as appropriate. Benefits - Actual compensation decision relies on the consideration of internal equity, candidate’s skills and professional experience, geographic location, market and other potential factors. - It is not standard practice for an offer to be at or near the top of the range, and therefore a reasonable estimate for this role is between $70,600 and $118,300. Company Description We are an Equal Opportunity Employer. We will not tolerate discrimination or harassment in any form. Candidates for the position stated above are hired on an "at will" basis. Nothing herein is intended to create a contract.

Role Description This role serves as the bridge between business stakeholders and the product team, owning the "what" and "why" of what we build. You will lead requirements discovery across business, clinical, and operations partners — surfacing needs, reducing ambiguity, and converting messy stakeholder input into clean, validated requirements that the Technical Product Manager and engineering team can build against with confidence. Success in this role means engineering rarely has to guess: business rules are explicit, data definitions are agreed, and decisions are documented before a story enters a sprint. Qualifications - Proven experience running stakeholder discovery sessions with business, clinical, and/or operations teams to surface requirements, constraints, and dependencies. - Demonstrated ability to author clear, unambiguous requirements artifacts — business rules, data definitions, workflow diagrams, and decision matrices. - Strong instinct for identifying ambiguity, contradictions, and unstated assumptions; willingness to push stakeholders to make and document decisions. - Experience documenting conditional logic, decision trees, and data validation criteria for business processes. - Working familiarity with data concepts — sources, schemas, field-level mappings — and the ability to partner with data teams to define what fields mean and where they originate. - Hands-on experience with Jira: structuring epics and stories, maintaining requirement-to-story traceability, and ensuring continuity between discovery and delivery. Requirements - Healthcare domain experience, including any of: clinical coding systems (e.g., ICD, CPT, HCC), claims data, payer/provider operations, or risk adjustment. - Prior experience working alongside a Technical Product Manager or in a paired BA/TPM model. - Exposure to data modeling, ETL, or analytics workflows sufficient to converse credibly with data engineers. - Experience with diagramming and documentation tools (e.g., Lucidchart, Miro, Confluence) for workflow and decision documentation. Education - Bachelor's degree in Business, Information Systems, Healthcare Administration, or a related field, or equivalent professional experience. Pay Range The typical pay range for this role is: $64,890.00 - $129,780.00. This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Benefits - Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. - Medical, dental, and vision coverage. - Paid time off. - Retirement savings options. - Wellness programs and other resources, based on eligibility.

• The Data Product Analyst serves as a critical bridge between business stakeholders, analytics teams, and data management groups. • This role combines strong data analysis capabilities with core business analysis skills to ensure that data is effectively leveraged to inform strategic decision making, improve processes, and influence solution design. • In addition to championing data stewardship, the Data Product Analyst plays a key role in eliciting requirements, documenting business processes, and facilitating alignment across technical and business teams.

• Support product analysis by gathering and organizing data related to product performance, pricing, and underwriting trends. • Assist with market research and help maintain competitive intelligence across insurance products and states. • Help prepare presentations and reports to communicate findings to team members and stakeholders. • Coordinate with actuarial and underwriting teams on updates to guidelines and pricing inputs. • Track regulatory updates and assist the team in keeping product documentation aligned with compliance standards. • Work within systems like Excel and SQL to run queries and manipulate data under guidance from senior analysts. • Contribute to cross-functional projects to support product development and enhancements.