BI Analyst

Fractal Analytics•California, CA

7d•$180,000 - $190,000•Remote

About The Position

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. We are seeking a highly skilled and business-oriented BI Analyst to join our Healthcare Analytics team. The ideal candidate will possess strong expertise in reporting and analytics, deep knowledge of healthcare claims data, and familiarity with Payment Integrity concepts. This role requires the ability to translate complex business and regulatory requirements into scalable analytics solutions and provide strategic guidance on compliance and regulatory reporting workbench design. The candidate should combine analytical excellence, technical acumen, and healthcare domain expertise to deliver actionable insights that drive operational efficiency, compliance, and business outcomes.

Requirements

Strong experience with Power BI, including dashboard development, DAX, data modeling, and report optimization.
Advanced SQL skills with experience querying and analyzing large datasets.
Strong understanding of data warehousing and dimensional modeling concepts.
Experience in reporting, analytics, business intelligence, and data visualization.
Knowledge of AI technologies, Generative AI concepts, and AI-driven analytics capabilities.
Understanding of data governance, compliance reporting, and regulatory analytics frameworks.
Strong healthcare payer domain experience.
Deep understanding of healthcare claims data and claims lifecycle processes.
Familiarity with Payment Integrity concepts, including claim validation, overpayment identification, recoveries, pre-pay and post-pay review processes.
Knowledge of healthcare compliance and regulatory reporting requirements.
Strong analytical and problem-solving skills.
Ability to communicate complex analytical insights to both technical and business stakeholders.
Excellent stakeholder management and collaboration skills.
Self-driven with strong ownership and accountability.
Ability to work effectively in a fast-paced, cross-functional environment.
Curiosity and willingness to explore emerging AI technologies and analytics innovations.

Nice To Haves

Experience working with healthcare payer organizations.
Exposure to cloud analytics platforms such as Azure, Databricks, Snowflake, or AWS Analytics services.
Experience supporting compliance, audit, and regulatory reporting programs.
Familiarity with predictive analytics, machine learning, or AI-enabled reporting solutions.
Understanding of CMS, Medicare, Medicaid, and commercial payer reporting environments.
Power BI Certification
Azure Data Fundamentals or Azure Data Engineer Certification
Healthcare Analytics or Payment Integrity domain certifications

Responsibilities

Design, develop, and maintain dashboards, reports, and analytical solutions using Power BI and SQL.
Analyze large healthcare claims datasets to identify trends, anomalies, savings opportunities, and compliance risks.
Support Payment Integrity initiatives through data analysis, reporting, and measurement of program effectiveness.
Collaborate with business stakeholders, compliance teams, clinical teams, and technology teams to gather and translate requirements into analytics solutions.
Provide recommendations on end-to-end analytics workbench architecture for regulatory, compliance, and operational reporting.
Develop data models, KPIs, scorecards, and executive dashboards that support strategic decision-making.
Ensure data quality, accuracy, governance, and consistency across reporting solutions.
Leverage AI-enabled analytics concepts and technologies to improve insights generation, automation, and reporting effectiveness.
Support root cause analysis, trend analysis, forecasting, and performance measurement initiatives.
Document business logic, metrics definitions, and reporting frameworks.