Healthcare Data Analyst

TalentOla; Edina (MN); On-site; USD 85,000 - 120,000; Full time

Job summary

TalentOla is seeking a data analyst to develop and maintain an Integrated Insights Data Warehouse, using statistical methods and ETL workflows to ingest and validate third-party healthcare data.

You will build dashboards and perform QA across large healthcare datasets, ensuring regulatory compliance and data quality while leading projects on QE datasets.

Qualifications

• Master’s degree in Statistics, Health Informatics and Analytics or related field.
• Minimum 3 years of experience as a data analyst or related role.
• Experience with large healthcare data systems and QE data.
• Strong SQL, data warehousing, and ETL/ELT skills.

Responsibilities

• Develop and maintain integrated data warehouse using statistical methods.
• Collect, organize, interpret, and summarize numerical data for usability.
• Manage ongoing data workflows including state-level ETL processes.
• Architect and maintain healthcare data warehouses for longitudinal analysis.
• Lead projects involving QE datasets with data governance and privacy.
• Develop automated workflows with Power Automate and dashboards for KPI tracking.

Skills

SQL

ETL/ELT

Alteryx

Power Automate

Data Warehousing

Education

Master’s degree in Statistics, Health Informatics and Analytics

Tools

SQL Server (SSMS)

Alteryx

ETL/ELT Frameworks

Relational DBMS

Job description

• Develop and maintain Integrated Insights Data Warehouse by using statistical methods to design, implement, and manage software and data workflows used for ingesting, transforming, validating, and performing quality assurance of third-party healthcare data.
• Collect, organize, interpret, and summarize numerical data to provide usable information.
• Manage the implementation, enhancement, and ongoing maintenance of new and existing data workflows, including state-level ETL processes and SQL-based transformations, and identify opportunities to improve data acquisition, standardization, quality assurance, and delivery across large-scale healthcare datasets.
• Architect and maintain healthcare data warehouses and master datasets using SQL Server, Alteryx, and orchestration frameworks, enabling longitudinal, cross-state analysis critical to provider performance measurement and regulatory compliance.
• Lead healthcare data projects involving CMS Qualified Entity (QE) datasets, including data ingestion, standardization, validation, and de-identification of healthcare records in compliance with regulatory and privacy requirements.
• Conduct gap analysis to identify solutions that meet documented business requirements and collaborate with development teams to ensure technical designs meet established standards.
• Develop automated business and operational workflows using Power Automate to support processes such as use case submissions, approval management, operational tracking, and analytics request fulfillment.
• Design and develop analytical dashboards to track quarterly and year-over-year key performance indicator (KPI) metrics and to support monitoring and management of vendor contracts, including renewal timelines and notifications.

Uses the following tools and technologies:

SQL Server (SSMS), Relational Database Management Systems, Advanced SQL, Alteryx, ETL/ELT Data Processing Frameworks, Data Warehousing Architectures, Healthcare Claims and Discharge Data, CMS Qualified Entity (QE) Data, ICD-9-CM, ICD-10-CM, ICD-10-PCS, CPT/HCPCS Diagnosis and Procedure Coding

Systems Qualifications:

Minimum Requirements:

This position requires a Master’s degree or equivalent in Statistics, Health Informatics and Analytics, or a related field and 3 years of experience in a data analyst or related occupation.

Must also have 36 months of experience with each of the following:

• Working with large-scale healthcare data systems, including CMS Qualified Entity (QE) claims data, ICD-9-CM, ICD-10-CM, ICD-10-PCS, CPT/HCPCS diagnosis and procedure codes, healthcare claims data, insurance adjudication processes, and clinical data management.
• Developing and maintaining healthcare data warehouses and master datasets using the following: SQL Server, relational database structures, stored procedures, and ETL/ELT workflows.
• Designing and implementing data governance and quality assurance frameworks using validation rules, reconciliation processes, longitudinal data consistency checks, and audit documentation for regulated healthcare data.
• Leading healthcare data extraction and analytics projects using SQL-based querying, Alteryx workflows, and automation.