• Ramp up quickly to become the primary owner of high-impact data deliverables, driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency • Design, maintain, and run comprehensive QA processes to ensure data accuracy and reliability across assigned sector products & client deliverables • Serve as a trusted resource for our clients and internal stakeholders by understanding client needs and aligning them with our data methodologies, limitations, and coverage • Independently investigate and resolve complex data quality issues • Collaborate cross-functionally with Insights and Engineering to align on best practices to deliver customer value, and develop technical solutions that streamline workflows, optimize data processes, and expand automation • Proactively identify opportunities to improve efficiency, robustness, and data quality within your team’s workflows, and mentor peers accordingly

Role Description The Senior Actuarial Analyst is a high-learning, high-ownership position responsible for working independently to develop subject matter expertise across multiple actuarial areas. This role focuses on designing and building net-new analytical tools and frameworks that directly support executive decision-making across various functions (e.g., pharmacy, risk adjustment, benefit analysis, etc.). Operate as an internal consultant — partnering with senior leaders to understand their business needs, then building the SQL and Excel-based tools that help them meet measurable goals. Success requires strong analytical curiosity, rigorous critical thinking, a coder's mentality, and a genuine commitment to getting things right. Qualifications - Bachelor's degree in a relevant field or equivalent - 5+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role - Intermediate SQL skills — the ability to write precise, well-documented, complex queries is essential - Strong Excel proficiency; experience with SAS or similar tools a plus - Actuarial exam progress (ASA in process) preferred but not required - Demonstrated ability to build analytical tools from scratch in ambiguous or unstructured environments - Strong communication skills — ability to interview an executive stakeholder, understand their goals, and translate them into an analytical specification - Openness to coaching, close collaboration, and iterative feedback during onboarding - A genuine standard of quality — someone who notices when something doesn't look right and takes the time to figure out why Requirements - Design, build, and validate actuarial and analytic models from the ground up - Develop modular SQL code and Excel-based tool suites that run on a regular cadence - Build tools that put actionable outputs directly in the hands of the executives - Formalize and adhere to team standards for model design, code documentation, and work quality - Continuously refine and improve models based on emerging data and business needs - Perform deep-dive, ad hoc analyses to answer complex business questions - Translate ambiguous business problems into structured analytical methodologies - Present findings clearly to both technical and non-technical stakeholders - Own and manage analytic projects from planning through delivery Benefits - Medical, Vision and Dental Plans - Tax-Advantage Savings Accounts (FSA & HSA) - Life Insurance and Disability Insurance - Paid Time Off (PTO, Sick Time, Paid Leave, Volunteer & Wellness Days) - Employee Assistance Program - 401k with company match - Employee Resource Groups - Employee Discount Program - Learning and Development Opportunities - And much more...

• Become the primary owner of high-impact data deliverables • Design, maintain, and run comprehensive QA processes • Serve as a trusted resource for clients and stakeholders • Independently investigate and resolve complex data quality issues • Collaborate with Insights and Engineering teams • Identify opportunities to improve efficiency and data quality

• Capture and organize business requirements and stakeholder ideas received through the intake process into a backlog of product features, enhancements, and project initiatives. • Lead requirements analysis by working closely with business stakeholders and development teams to identify and estimate feasibility, risks, dependencies, business impact, and resource needs for proposed technology solutions. • Maintain prioritized product roadmaps created from the product backlog and perform release planning to meet technology vision and business strategy. • Lead backlog grooming and deliver business requirements via artifacts such as epics, user stories, well-defined acceptance criteria, wireframe diagrams, process maps, etc. • Participate in the delivery process through attending the necessary meetings, conducting pre-release testing, demonstrating new features for business stakeholders, and gathering stakeholder feedback. • Develop functional application documentation & user guides. • Support IT leadership to implement and incorporate new technology platforms into the digital portfolio. • More than 10% of travel