Senior Data Analyst

Senior Data Analyst

Are you looking to make a difference in patients’ lives with a company that values your expertise? Join us in our mission of delivering compassionate healthcare where it matters most –– at home.

Pinnacle Home Care, Florida’s largest independent Medicare-certified home health provider, has been delivering high-quality, patient-centered care for over two decades, and we’re looking for a Senior Data Analyst to join our award-winning team.

 Key Responsibilities

• Analyze large, complex datasets to identify trends, risks, opportunities, and performance drivers.

• Develop advanced SQL queries and reusable datasets using SQL Server, Snowflake, and other enterprise data sources.

• Use Python to automate data processing, reconciliation, validation, reporting, and other repetitive workflows.

• Build dashboards and executive reporting using Power BI and related reporting tools.

• Translate business questions into clear analyses, metrics, dashboards, and recommendations.

• Combine data from databases, APIs, Excel, CSV, JSON, and cloud applications.

• Develop automated data pipelines and reporting processes.

• Validate data quality and investigate discrepancies across systems and reports.

• Partner directly with operational, clinical, financial, and executive teams.

• Identify opportunities to improve processes through better data, reporting, and automation.

• Document solutions and maintain strong development, testing, and source-control practices.

• Mentor junior analysts and help establish analytics and development standards.

Qualifications

• 5+ years of experience in data analytics, business intelligence, data engineering, or a related field.

• Advanced SQL skills, including complex queries, data transformation, and performance optimization.

• Strong professional experience with Python, including data analysis and production-level automation.

• Strong experience with Power BI or comparable BI/reporting tools.

• Experience with Snowflake or another cloud data platform.

• Experience working with REST APIs and structured data such as JSON, CSV, and Excel.

• Strong analytical, troubleshooting, and problem-solving skills.

• Ability to independently take a business problem from requirements through analysis and implementation.

• Experience with ETL/ELT, data pipelines, and automated workflows.

• Experience with Git or comparable source-control tools.

• Healthcare or home health experience preferred.

• Experience working with operational, clinical, or financial healthcare data preferred.

• Microsoft Azure and Microsoft Graph experience preferred.

• Familiarity with HIPAA and handling PHI preferred.

• Experience integrating SaaS and enterprise applications preferred.