Payer Analytics Consultant

About Us

Abacus Insights is transforming how data and AI work for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.

As the AI and Data Platform for Payer Intelligence, we help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions—so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike. Backed by $100M from top investors, we're tackling big challenges in an industry that's ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data to support automation, prioritization, and decision workflows—and it's why we are leading the way.

Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. We embrace the thoughtful use of AI and automation to drive innovation and efficiency, and we look for individuals who are curious and adaptable—those excited to leverage emerging technologies to enhance how we work—while keeping human insight, connection, and our clients at the center of every decision.

Ready to make an impact? Join us and let's build the future together.

About the Role

Abacus Insights is seeking a Payer Analytics Consultant to serve as the dedicated data and analytics partner working side-by-side with our business teams and client teams as we launch new and expanded service offerings for health plans. This is a client-facing subject matter expert role for an analytics consultant trained at a top-tier consulting firm, bringing structured problem-solving, executive presence, and client-delivery discipline to payment integrity, provider performance, and payer operations. You’ll turn client questions into the data models, dashboards, and analyses that power their recommendations, leveraging AI and automation wherever it helps you move faster and dig deeper.

In this role, you will travel onsite to client locations alongside other members of the team, gathering requirements in person, presenting your own analysis to client stakeholders, and building the kind of trusted relationships that come from being in the room. This is an individual-contributor, analytics-first role: you are both the technical engine that makes our insights possible, accurate, and repeatable, and a visible, credible voice in front of clients yourself. You’ll help set the standard for how Abacus delivers analytics to health plans as these new offerings take off. This role sits at the intersection of payer domain knowledge, hands-on data analytics, and client delivery.

Note: This role may occasionally involve brief travel to client sites, but the vast majority of your work will be done remotely. In addition, this role is based in the US and requires current authorization to work in the United States without the need for employer sponsorship.

Your day to day

• Own the analytics workstream on client engagements, from scoping and hypothesis development through data modeling, analysis, and delivery of findings

• Partner closely with Abacus’ Payment Integrity and Payer Business Domain consultants, translating their client questions into data models, reports, and analyses that support their recommendations

• Travel onsite to client locations alongside the consulting team to gather requirements, support live engagements, and build direct relationships with client stakeholders

• Present data findings, dashboards, and analyses directly to client stakeholders, including steering committee updates and working sessions, translating technical analysis into clear, actionable takeaways in real time

• Design and manage the queries and data pipelines, working directly inside each client’s own Snowflake or Databricks environment, that pull from client claims, pharmacy, and provider performance systems to support active consulting engagements

• Perform deep-dive analyses (utilization trends, cost drivers, quality metrics, provider performance) and package findings into clear, presentation-ready outputs for consultants and clients alike

• Leverage AI and automation, from AI-assisted query generation to GenAI-powered insight summarization, to accelerate analysis, reduce manual reporting work, and surface findings faster for consultants and clients

• Ensure data accuracy, consistency, and technical rigor across all client-facing analytics deliverables

• Partner with Product, Engineering, and Data teams to scale, automate, and productize the analytics workflows and tools the consulting team relies on

• Contribute reusable analytics frameworks, templates, and accelerators to Abacus’ consulting methodologies as the practice scales

• Maintain working knowledge of payer domain concepts (claims, utilization management, quality measures, payment integrity, and provider contracting) so analytics outputs are accurate and meaningfully interpreted

What you bring to the team

• A consulting background at a top-tier global firm, such as McKinsey (including QuantumBlack), BCG (including BCG Gamma), Bain, Deloitte, PwC, EY, KPMG, Accenture, Oliver Wyman, or Guidehouse, or a leading healthcare-focused advisory or analytics firm such as Chartis, Huron, Milliman, Optum Advisory, or Clarify Health. We typically see 3+ years of consulting experience, including client-facing analytics delivery within a healthcare payer practice

• 7-10+ years of total hands-on experience in healthcare data analytics, gained at a payer, TPA, health plan vendor, or consulting firm serving them

• Demonstrated consulting craft: hypothesis-driven analysis, structured problem solving, and executive-ready storytelling, with the ability to turn ambiguous business questions into structured data models and clear analyses

• Deep proficiency in SQL and Power BI and/or Tableau, with a track record of building production-grade dashboards and reporting tools

• Experience analyzing medical/pharmacy claims, provider performance, or payment integrity data

• Strong client-facing communication and presentation skills, comfortable presenting analysis directly to client stakeholders and fielding questions in real time, not just supporting consultants behind the scenes

• Comfort using AI-powered tools (e.g., Copilot-style assistants, GenAI for code/query generation, AI-enabled BI features) to work faster and surface insights more efficiently

• Willingness and ability to travel onsite to client locations as part of a consulting engagement team

• Working familiarity with payer domain concepts: claims processing, utilization management, quality measures (HEDIS/STAR), payment integrity, or provider contracting

• A Bachelor’s Degree required; an MBA, MHA, MPH, master’s in a quantitative field, or comparable advanced degree from a leading institution is a plus

What we’d like to see, but not required

• Experience with Python or another scripting language for data manipulation and automation

• Exposure to payment integrity specifically, including claims auditing and fraud/waste/abuse detection

• Exposure to provider performance or network analytics

• Experience with cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery)

• Experience building reusable analytics accelerators or client-ready analytics products within a consulting practice

Compensation

Compensation for this role is based on experience, skills, and location, and includes base salary plus eligibility for performance bonuses and equity grants.

What you’ll get in return

• Unlimited paid time off: recharge when you need it

• Work from anywhere: flexibility to fit your life

• Comprehensive health coverage: multiple plan options to choose from

• Equity for every employee: share in our success

• Growth-focused environment: your development matters here

• Home office setup allowance: one-time support to get you started

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