Data Analyst-Healthcare Practice

Blue & Co., LLC • Indianapolis, IN

103d

About The Position

Blue & Co., LLC is building a modern Data & Analytics practice focused on proprietary data products, AI-enabled consulting services, and scalable analytics capabilities. The Data Analyst will primarily support the Healthcare Consulting practice, partnering with consultants and client stakeholders to understand business challenges, define meaningful KPIs, recommend analytical approaches, and design reporting solutions that improve decision-making. The role emphasizes determining what should be measured and why, then communicating insights to create lasting client value.

The analyst will develop reporting strategies, KPI frameworks, interactive dashboards, semantic models, and analytics for healthcare operational and financial decisions. Work includes healthcare revenue cycle operations, claims and EHR/EMR data, reimbursement and CMS-related reporting, and automation of recurring analytics workflows. The role will also use Microsoft Fabric to support data-driven application features and Power BI reporting. The resulting analytical frameworks and reporting capabilities are intended to scale across the firm.

Requirements

• Bachelor’s degree in Data Analytics, Computer Science, Finance, or a related field, or equivalent experience.
• At least 3 years of experience in data analytics, business intelligence, or healthcare consulting.
• Power BI development skills, including DAX, Power Query (M), semantic models, and report optimization.
• Strong understanding of dimensional modeling, ETL/ELT concepts, and data integration.
• Experience with healthcare claims (835/837), EHR/EMR, accounting, reimbursement, and other healthcare operational data sources.
• Experience working in an agile environment and a desire to learn and adopt emerging technologies.
• Candidates must be authorized to work in the U.S. without current or future employer sponsorship.

Nice To Haves

• Exposure to Microsoft Fabric and/or Snowflake.
• Experience with Financial ERP.
• Ability to effectively leverage AI tools such as Copilot, ChatGPT, Claude, or similar to accelerate analysis, automate repetitive tasks, improve reporting quality, and solve complex business problems.
• Strong understanding of business processes and ability to translate operational needs into scalable analytical solutions.
• Ability to translate healthcare operational questions into meaningful KPIs, dashboards, and actionable business insights.
• Excellent communication and facilitation skills, including leading discovery discussions, asking insightful questions, and translating business objectives into analytical solutions.
• Exposure to healthcare reimbursement support analytics, wage index analysis, or healthcare price transparency initiatives.
• Understanding of healthcare revenue cycle operations, including billing, collections, denials, underpayments, and contract performance.
• Experience working in an accounting firm or with accounting software.
• Familiarity with prompt engineering techniques to leverage LLMs.

Responsibilities

• Partner with consulting teams and client stakeholders to understand business objectives, identify where data can improve decision-making, and recommend analytical solutions that deliver business value.
• Challenge assumptions and help define the questions that should be answered, rather than simply building requested reports.
• Design reporting strategies, KPI frameworks, and interactive dashboards for healthcare operational and financial decisions.
• Develop analytics and dashboards for healthcare revenue cycle operations, including billing, collections, denials, underpayments, and contract performance.
• Analyze healthcare claims (835/837), EHR/EMR, accounting, and reimbursement data to identify trends, improve operational performance, and support client decisions.
• Develop reporting and analytical solutions for CMS reporting, HCRIS/cost reports, wage index, reimbursement analytics, price transparency, and healthcare benchmarking initiatives.
• Identify and implement automation opportunities in recurring reporting and analytics workflows to improve efficiency and data consistency.
• Design, develop, and maintain high-performance Power BI dashboards and semantic models.
• Work with Microsoft Fabric to support data-driven application features, including analysis and reporting through Power BI dashboards and reports.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level