Senior Data Analyst with Healthcare Payer Domain

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst with a healthcare payer domain, onsite in Orlando, FL. The contract offers competitive pay. Required skills include advanced SQL, data visualization (Power BI/Tableau), Python, and familiarity with healthcare KPIs.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 12, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Inside IR35
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Orlando, FL
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🧠 - Skills detailed
#Python #Data Catalog #UAT (User Acceptance Testing) #Data Storytelling #Data Manipulation #Data Management #Data Analysis #SQL (Structured Query Language) #Metadata #Data Quality #Tableau #AWS (Amazon Web Services) #BI (Business Intelligence) #Datasets #Data Engineering #Redshift #Data Profiling #Storytelling #Visualization #Microsoft Power BI #Pivot Tables #Macros #Cloud
Role description
Senior Data Analyst Orlando, FL (Onsite) Contract We are seeking a Data Analyst with strong SQL, analytical thinking, and data storytelling abilities to support analytics initiatives for healthcare programs and operational dashboards. Key Responsibilities: Analyze large datasets and provide actionable insights to stakeholders Build ad hoc queries and reports using SQL, Python, and visualization tools Translate business requirements into analytical questions and reporting logic Partner with data engineers to understand backend data models and pipelines Ensure data quality and assist in user acceptance testing (UAT) Required Technical Skills: Core & Deep Knowledge Assessment: Advanced SQL (joins, window functions, subqueries) Data visualization tools (Power BI, Tableau, or similar) Data profiling, cleansing, and validation Business requirement analysis Communication & presentation of data insights Basic Overall Knowledge Assessment: Python (for data manipulation and exploratory analysis) Excel (pivot tables, formulas, macros) Basic understanding of cloud data platforms (AWS/Redshift/Glue) Metadata management and data cataloging Familiarity with healthcare KPIs and metrics