Senior / Lead Analyst, Customer Insights

About this role

Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.

We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.

For more information, visit arcadia.io.

Why This Role Is Important to Arcadia

Analytics sits at the center of how Arcadia turns complex healthcare data into better outcomes and smarter decisions.

On the product side, that means building and owning the productized analytics engines — risk, medical economics, episodes-of-care, and more — that power Arcadia's platform company-wide, built once and delivered at scale across our entire customer base.

On the Customer Insights side, that means going deep on a specific customer's specific problem: custom data models, bespoke dashboards, advisory work, and long-running embedded programs that don't fit a one-size-fits-all product. We describe Customer Insights' work as sitting between a platform and a plan — more customized and hands-on than an off-the-shelf reporting product, more flexible and embedded in the customer's actual decisions than a traditional outsourced consulting engagement.

We're currently hiring for several closely related analyst roles across this broader Analytics organization — spanning ownership of one of Arcadia's core analytics engines, program-specific analytical development for a major state Medicaid risk-stratification initiative, a ground-up registry build for a national quality organization, versatile project and retainer delivery across our health system and payer customers, and dedicated analytics support for a major national health plan's Medicaid program. All of these roles sit at the Senior Analyst or Lead Analyst level, combine technical excellence with real influence over analytic strategy and (for some placements) product direction, and shape how Arcadia and its customers use data to improve population health outcomes, reduce costs, and enable smarter healthcare decisions.

The skills and experience below are characteristic across these roles as a set — not every requirement applies to every specific seat, and we don't expect any one candidate to bring all of it. We'll work with you during the interview process to identify which role is the best fit for your background and interests.

What Success Looks Like

In 3 months

• Ramp into your specific engagement's data model, technical stack, and stakeholder relationships — most Customer Insights engagement has real history and context to build into, not a blank slate

• Learn Arcadia's core analytics platform and toolset (QuickSight, Foundry, dbt, the AWS ecosystem) as used in your engagement

• Deliver your first piece of analytical work that demonstrates clear value to your engagement's stakeholders

In 6 months

• Own meaningful pieces of delivery independently — whether that's a program's analytical development, a portfolio of retainer/project work, or a dedicated account's dashboarding and reporting

• Be a credible, independent presence in front of the customers or partners tied to your engagement

• Contribute to at least one reusable analytical asset, framework, or automation that extends beyond your immediate engagement

• Begin taking on the ongoing health of your area, not just its delivery — standing up a backlog/tech-debt process, or growing into a broader backup role alongside your engagement's primary owner, depending on placement

In 12 months

• Be a recognized expert in your engagement area, trusted with its most complex or ambiguous work

• Actively identify and pursue opportunities for automation, scalability, and reuse across your work

• Have grown into deeper ownership than where you started — full backup or co-owner on an account, sole steward of a program's tech-debt and backlog, or, for analytics-engine placements, the architect shaping that engine's roadmap toward being market-leading

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, self-service reporting tools, benchmarking views, 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…