Senior/Lead Analyst, Customer Insights

Arcadia

Senior/Lead Analyst building SQL, dbt, and BI analytics for Arcadia’s population health platform. Delivering healthcare models, dashboards, and customer insights that improve care and reduce costs.

Posted 8/20/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $125,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL, data modeling, and analytics engine development, with a strong focus on healthcare data and value-based care. Capable of leading cross-functional initiatives, mentoring junior analysts, and effectively communicating analytical insights to stakeholders.

Highest-signal resume keywords

SQL ExpertiseData ModelingHealthcare Data ExperienceAnalytics Engine DevelopmentDashboarding with QuickSight

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ModelingAnalytics Engine DevelopmentPredictive ModelingQuantitative AnalysisMachine Learning FluencyPythonAI Tooling AdoptionAnalytical Pipeline DevelopmentRisk Algorithms

Soft Skills

Customer-Facing ExperienceMentoringCross-Functional LeadershipCommunicationProject Management

Tools & Technologies

DbtQuickSightAWSJiraConfluence

Industry Keywords

Healthcare DataValue-Based CareMedical EconomicsEpisodes-of-Care AnalyticsState Medicaid Programs

Tech Stack

Tools & technologies

AWSPythonSQL

About the role

Key responsibilities & impact

Translate ambiguous business and clinical questions into concrete, buildable data plans
Build data models, code, and analyses
Develop and maintain analytical pipelines and reusable data assets using SQL, dbt, Foundry, and AWS data lake environments
For analytics-engine placements, lead strategy and end-to-end ownership of productized analytics engines such as risk, medical economics, and episodes-of-care
Design and build predictive or risk models in partnership with Data Science for training and validation
Build dashboards, provider scorecards, registries, and other analytical deliverables using QuickSight and other tools
Maintain analytical integrity and quality; oversee analytic quality standards for senior placements
Manage delivery calendars, decision logs, and portfolios of concurrent customer projects
Surface delivery risks and tradeoffs
Create client-facing status decks, decision memos, and technical explainers
Delegate routine work to junior analysts and cross-train team members
Lead cross-functional analytic initiatives
Serve as a day-to-day customer or delivery-partner contact
Partner with Customer Management, Growth, Product, and Engineering on account strategy, product direction, and analytics roadmaps
Act as an internal thought leader and, for some placements, represent Arcadia externally at customer meetings, conferences, and in publications
Mentor and develop junior analysts
Own the long-term health of the assigned area through backlog/technical-debt management, account backup, or analytics-engine roadmaps
Apply AI tooling for analysis, QA, and documentation
Identify and implement automation, scalability, and reusability improvements

Requirements

What you’ll need

Strong SQL and data modeling expertise
Ability to translate ambiguous business or clinical requirements into a concrete data plan and build the underlying code and analysis
Healthcare data experience, including claims and/or clinical data
Familiarity with value-based care
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: experience leading analytical work independently, managing multiple stakeholders, and mentoring less experienced analysts
Experience with dbt-based analytics engine development
Dashboarding experience with QuickSight or a comparable BI tool
Quantitative/ML fluency sufficient 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
Experience with state Medicaid programs or similar large government health programs
Experience in a project-based/retainer delivery model spanning multiple customers
Experience working within a prime contractor or partner structure on shared delivery
Experience presenting analytic capabilities externally
Python for analysis and QA
Familiarity with the AWS ecosystem, Jira, and Confluence

Benefits

Comp & perks

Employee driven programs and initiatives for personal and professional development
Flexible, remote-friendly company
Competitive compensation
Strong benefits
Flexible Time Off
Opportunity to own high-stakes analytical work across complex customer relationships and high-visibility internal analytics products
Opportunity to work across varied technical and analytics problems
Opportunity to build models and analytical assets shaping care and coverage decisions