Senior / Lead Analyst, Customer Insights

What You'll Be Doing

• Technical Analytical Delivery

• Translate ambiguous or partially-scoped business and clinical questions into a concrete, buildable data plan, then build the underlying data model, code, and analysis on top of it
• Develop and maintain analytical pipelines and reusable data assets using SQL, dbt, and Arcadia's core data platform (Foundry, AWS data lake environments)
• For analytics-engine placements: serve as the lead analytics strategist for at least one of Arcadia's productized analytics engines (e.g., risk, medical economics, episodes-of-care), owning it end-to-end while contributing to others
• For engagements involving predictive or risk models: design and build the models, partnering with a dedicated Data Science team on training and validation — a consultative relationship, not a daily modeling partnership
• Build dashboards, provider scorecards, registries, and other analytical deliverables (QuickSight and beyond) on top of that modeling work, as the engagement calls for it
• Maintain the analytical integrity and quality of your work, flagging issues before they reach a customer or partner; for senior placements, oversee analytic quality standards and rigor across engagements more broadly, not just your own

Program and Project Management

• Manage delivery — whether that's a single program's delivery calendar and decision log, or a portfolio of concurrent projects across multiple customers — surfacing risks and tradeoffs before they become blocking issues
• Create client-facing materials — status decks, decision memos, technical explainers — tailored to a range of stakeholders, from highly technical counterparts to policy or business stakeholders with limited technical background
• Delegate routine or repeatable work to junior analysts as your engagement grows, and help cross-train others for coverage
• Lead cross-functional analytic initiatives that span multiple teams or engagements

Customer and Cross-Functional Partnership

• Serve as a primary or supporting day-to-day contact for your engagement's customers or delivery partners, navigating scope and timeline conversations directly
• Partner with Customer Management, Growth, Product, and/or Engineering — depending on placement — on account strategy, product direction, or analytics roadmap; for analytics-engine placements, partner closely with product and engineering to deliver Arcadia's analytics roadmap and contribute directly to product innovation
• Hold real authority at the boundaries where your work meets someone else's — able to require rework or hold a handoff that isn't ready (e.g., with a partner Data Science team), or push back on what's actually worth building with Customer Management, Growth, or Product, rather than defaulting to whatever's asked
• Act as an internal thought leader on your area of expertise, contributing to Arcadia's broader analytics strategy and reusable methodology — and, for some placements, an external one, representing Arcadia's analytic capabilities at customer meetings, industry conferences, and in publications

Team Contribution

• Mentor and develop junior analysts, building organizational capacity beyond your own individual delivery
• Take ownership of your area's long-term health, not just its immediate delivery — a backlog/tech-debt log, a growing backup role on an account, or a roadmap for an analytics engine, depending on placement
• Apply AI tooling as a standard part of your workflow — analysis, QA, documentation — not an occasional accelerant
• Identify opportunities for automation, scalability, and reusability in analytical delivery, and help build those improvements out

What You'll Bring

• Strong SQL and data modeling expertise — able to translate ambiguous business or clinical requirements into a concrete data plan, then build the underlying code and analysis on top of it
• Healthcare data experience — claims and/or clinical data, with value-based care familiarity
• Direct customer- or partner-facing experience — comfortable scoping and presenting without close oversight
• Comfortable adopting AI tooling as a standard part of an analytical workflow
• For Lead-level placement: demonstrated experience leading analytical work independently, managing multiple stakeholders, and mentoring less experienced analysts

Note: our experience bar across these roles generally skews toward Lead-level expectations, even for some Senior Analyst placements — but not every skill listed here or below applies to every specific seat.

Would Love For You To Have

• Experience with dbt-based analytics engine development (e.g., risk, medical economics, episodes-of-care) and partnering with product/engineering on roadmap
• Dashboarding experience — QuickSight or a comparable BI tool
• Enough quantitative/ML fluency to build models and hand them to a Data Science team for training
• Experience with medical economics, risk algorithms, quality data, and/or episodes-of-care analytics
• Prior experience with state Medicaid programs or similar large government health programs
• Prior experience in a project-based/retainer delivery model spanning multiple customers, rather than a single dedicated account
• Experience working within a prime contractor or partner structure on shared delivery
• Experience presenting analytic capabilities externally — customer meetings, industry conferences, publications
• Python for analysis and QA; familiarity with the AWS ecosystem, Jira, and Confluence

Note: this list spans skills relevant to several different roles across the Analytics organization — we don't expect any given candidate to have all of them. Bring what you have; we'll talk through the rest during the interview process.

What You'll Get

• Become a member of the talented, energized, diverse and purpose-driven Arcadian Community with decades of collective experience in population health, product development, and data science
• Employee driven programs and initiatives for personal and professional development
• A flexible, remote-friendly company with personality and heart
• Competitive compensation and strong benefits, including Flexible Time Off

The opportunity to:

• Own real, high-stakes analytical work across some of Arcadia's most complex customer relationships and highest-visibility internal analytics products
• Work across a genuinely varied set of problems — deep technical program ownership, versatile multi-account delivery, or company-wide analytics engines, depending on placement
• Build models and analytical assets that directly shape care and coverage decisions for the members and patients they serve

Senior Analyst: $125,000 – $145,000 a year

Lead Analyst: $145,000 – $170,000 a year