Senior/Lead Analyst, Customer Insights

🕒 August 20

🇺🇸 United States – Remote

💵 $125k - $170k / year

⏰ Full Time

🟠 Senior

🧐 Analyst

🦅 H1B Visa Sponsor

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Arcadia

201 - 500 employees

🏥 Healthcare

💼 Consulting

💰 $29.5M Venture Round on 2020-01

Healthcare • Consulting

Arcadia is dedicated to happier, healthier days for all. We transform diverse data into a unified fabric for health. Our platform delivers actionable insights for our customers to advance care and research, drive strategic growth, and achieve financial success.

📋 Description

• 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

• 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

• 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

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