Senior Data Analyst

Pinnacle Home Care • Oldsmar, FL

1d

About The Position

Pinnacle Home Care, Florida’s largest independent Medicare-certified home health provider, is seeking a Senior Data Analyst to join their award-winning team. The company has been delivering high-quality, patient-centered care for over two decades and is looking for someone to make a difference in patients’ lives with their expertise. The role involves analyzing large, complex datasets to identify trends, risks, opportunities, and performance drivers, and translating business questions into clear analyses, metrics, dashboards, and recommendations. The Senior Data Analyst will also develop automated data pipelines and reporting processes, validate data quality, and partner directly with operational, clinical, financial, and executive teams. Additionally, they will identify opportunities to improve processes through better data, reporting, and automation, document solutions, and mentor junior analysts.

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• Personalized, One-on-One Care
• Growth & Stability
• Ongoing Professional Development: Free Continuing Education Units (CEUs) to support licensure and career advancement.
• Competitive Benefits & Perks: Including an employee referral program where you can earn rewards.
• Recognized Excellence: Ranked as a USA Today Top Workplace.
• Flexible Scheduling
• Supportive & Fun Culture

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed