6 дней назад
Payer Analytics Consultant (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Payer Analytics Consultant (AI): Building data models, dashboards, pipelines, and analyses for health plans with an accent on payment integrity, provider performance, payer operations, and client-facing delivery. Focus on designing analytics in Snowflake or Databricks environments, analyzing claims and utilization data, presenting actionable findings, and using AI to accelerate query generation and insight summarization.
Location: United States; remote flexibility is offered, with onsite travel to client locations required for consulting engagements.
Company
provides an AI and data platform that helps health plans connect healthcare data and improve care and cost decisions.
What you will do
- Translate client and consulting-team questions into data models, reports, dashboards, and analyses.
- Travel onsite to client locations, gather requirements, support live engagements, and build stakeholder relationships.
- Present findings and analyses directly to client stakeholders and explain technical results as actionable recommendations.
- Design and manage queries and data pipelines in client Snowflake or Databricks environments using claims, pharmacy, and provider-performance data.
- Analyze utilization trends, cost drivers, quality metrics, provider performance, and payment-integrity data.
- Use AI and automation to accelerate query generation, summarize insights, reduce manual reporting, and scale analytics workflows.
Requirements
- 7–10+ years of hands-on healthcare data analytics experience at a payer, TPA, health plan vendor, or related consulting firm.
- Deep proficiency in SQL and Power BI and/or Tableau, with experience building production-grade dashboards and reporting tools.
- Experience analyzing medical or pharmacy claims, provider performance, or payment integrity data.
- Ability to translate ambiguous business questions into structured data models and clear analyses.
- Strong client-facing communication and presentation skills, including presenting directly to stakeholders and answering questions in real time.
- Willingness and ability to travel onsite to client locations; familiarity with claims processing, utilization management, HEDIS/STAR quality measures, payment integrity, or provider contracting.
Nice to have
- Python or another scripting language for data manipulation and automation.
- Experience with claims auditing, fraud/waste/abuse detection, provider performance, or network analytics.
- Experience with cloud data warehouses such as Snowflake, Databricks, Redshift, or BigQuery.
- Master’s degree in a quantitative field, Public Health, or a related discipline.
Culture & Benefits
- Work-from-anywhere flexibility with onsite travel for client engagements.
- Unlimited paid time off and comprehensive health coverage.
- Equity grants for every employee and eligibility for performance bonuses.
- Home office setup allowance and monthly cell phone allowance.
- Growth-focused environment with an emphasis on collaboration, inclusion, and responsible use of AI.
Hiring process
- Interviews are conducted by live video with the candidate’s camera on.
- Later-stage candidates may complete identity, work-history, and location verification.
- AI tools support recruitment, but recruiters and hiring teams make progression and hiring decisions.
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