About The Position

The Senior Business Intelligence Analyst uses data analytics and contributes to business initiatives that help partners extract value from information. The role develops data visualizations for analysis, problem-solving, and business solutions, and evaluates healthcare analytics to generate insights for healthcare solutions. It serves as a thought partner to business leads, conducting proactive and reactive analysis for stakeholders and identifying relationships between key metrics and their drivers. The analyst researches and presents meaningful reports and analysis for healthcare system entities, creates key performance indicators and balanced scorecards, and builds infrastructure, models, and tools to support analytical rigor and healthcare strategy. The role uses business analytics to anticipate organizational needs and address business challenges, and serves as a resource for junior business intelligence analysts. The position calls for advanced Power BI development, SQL and database expertise, Power Platform capabilities, strong stakeholder communication, and experience leading or mentoring BI developers. The preferred candidate has a quantitative foundation and substantial BI reporting experience, ideally including enterprise BI tools, AI-assisted Power Platform solutions, semantic Power BI models for Agentic AI, and healthcare payer domain knowledge. The listed location is the DMV area.

Requirements

  • Bachelor's degree in Statistics, Mathematics, or a related field; in lieu of a bachelor's degree, an additional four years of relevant work experience is required in addition to the required experience.
  • At least 8 years of experience with business intelligence tools, data analytics, and/or database management systems.
  • Advanced hands-on Power BI development experience, including complex DAX, star-schema modeling, row-level security, performance tuning, and Power BI Service administration.
  • Advanced SQL and database expertise, including complex SQL queries, stored procedures, data warehouse design, and analysis and reporting of large data volumes.
  • Hands-on Power Apps experience (canvas and/or model-driven) and Power Automate workflow experience integrating data from sources including SharePoint, AWS S3, Redshift, Athena, Cloudera, and others.
  • Ability to understand stakeholder requirements and clearly articulate the story behind the data.
  • Experience leading or mentoring BI developers, conducting code reviews, and setting reporting standards.
  • A degree or strong grounding in mathematics or statistics.
  • Collaborative, team-first attitude; willingness to coach; strong communication with non-technical audiences; and ownership.

Nice To Haves

  • 8 to 9 years of experience in BI reporting.
  • Experience with enterprise BI tools such as MicroStrategy, Tableau, or Cognos, including integration with Power BI.
  • Experience building AI-assisted Power Platform solutions and semantic Power BI models for Agentic AI consumption.
  • Healthcare payer domain experience.
  • Experience integrating or working with Microsoft Fabric and the AWS ecosystem.
  • Relevant Power Platform or Power BI certifications.
  • Certified Business Intelligence Professional certification.
  • Certified Business Analysis Professional (CBAP) certification.
  • Ability to learn and understand all areas of organizational operations.
  • Creative and critical thinking, and ability to thrive in a fast-paced environment.
  • Advanced skill with business intelligence software such as Power BI, Qlik, or Tableau.

Responsibilities

  • Evaluate healthcare analytics and generate insights for healthcare solutions.
  • Partner with business leads on proactive and reactive analysis for key stakeholders.
  • Derive insights into relationships between key metrics and their drivers.
  • Research meaningful reports and analysis for healthcare system entities and present findings.
  • Create key performance indicators and balanced scorecards to improve decision-making.
  • Build infrastructure that supports analytical rigor, and develop models and tools that drive healthcare strategy.
  • Use business analytics to anticipate future needs of the healthcare organization.
  • Use data analytics to address business challenges.
  • Serve as a resource for junior business intelligence analysts.
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