Sr. Healthcare Data Analyst with SQL, IDQ & HEDIS Experience

Role: Sr. Healthcare Data Analyst with SQL, IDQ & HEDIS Experience

Client Location: Remote (USA)

Duration: Long Term

Note: Clients looking for Real-time Expert in Healthcare IDQ & HEDIS Min of 6+ Years must be in 3-4 Projects along with Data Analyst and Quality Analyst.

Job Summary:

We are seeking a highly skilled Senior Data Analyst with expertise in SQL, US Healthcare data models, HEDIS quality measures, and data quality assessment. The ideal candidate will have hands-on experience in analyzing healthcare data (Claims, Clinical, Labs, and Immunizations) and leveraging PySpark, Azure Data Factory (ADF), and modern data technologies. This role requires strong analytical skills, the ability to engage with customers, and the capability to prepare and present insightful reports to stakeholders.

Key Responsibilities:

1. Data Analysis & Reporting:

• Analyze healthcare datasets (Claims, Clinical, Labs, Immunization, and Encounters) to extract meaningful insights.
• Evaluate HEDIS quality measures and track performance trends.
• Develop complex SQL queries to extract, manipulate, and analyze data from large-scale data warehouses.
• Create reports, dashboards, and visualizations to support business and clinical decision-making.

1. Data Quality & Governance:

• Identify data quality issues related to claims, clinical, labs, and immunization data.
• Work with business and technical teams to define data quality rules and ensure adherence to standards.
• Perform root cause analysis (RCA) of data discrepancies and recommend corrective actions.
• Collaborate with data engineering teams to optimize ETL pipelines for accuracy and efficiency.

1. Customer Interaction & Requirement Gathering:

• Work closely with healthcare customers, business stakeholders, and leadership to gather and understand requirements.
• Translate business needs into data-driven solutions and actionable insights.
• Present findings, reports, and dashboards to non-technical and executive stakeholders.

1. Technology & Automation:

• Utilize PySpark for large-scale healthcare data processing and transformation.
• Work with Azure Data Factory (ADF) to orchestrate and automate data pipelines.
• Identify opportunities for automation and optimization in data workflows.
• Stay updated on latest trends in technology and healthcare analytics to drive innovation.

Required Qualifications & Skills:

Strong Analytical & SQL Skills:

• Proficiency in writing complex SQL queries to handle large healthcare datasets.
• Experience in data modeling, validation, and standardization.
• Ability to do source to target mappings for HEDIS data mart.

Healthcare Data Expertise:

• Knowledge of US healthcare data models (Claims, Clinical, HEDIS, Lab, Immunizations).
• Experience in analyzing HEDIS quality measures and tracking compliance trends.
• Understanding of HIPAA regulations, PHI handling, and payer-provider data interactions.

Data Quality & Governance:

• Hands-on experience in identifying, assessing, and resolving data quality issues.
• Familiarity with data validation, standardization, and profiling techniques.

Technical Skills:

• Databases: SQL Server, Snowflake, Databricks
• ETL & Data Pipelines: SSIS, ADF (Azure Data Factory)
• Big Data & Analytics: PySpark, Databricks
• Reporting & Visualization: Power BI, Tableau (preferred)

Soft Skills:

• Excellent verbal and written communication skills for customer interaction.
• Strong problem-solving and analytical mindset.
• Ability to work independently and collaboratively in a cross-functional team.
• Passion for staying updated with emerging trends in technology and healthcare.

Preferred Qualifications:

• Experience working with healthcare payers, providers, or HEDIS analytics teams.
• Knowledge of FHIR, HL7, and healthcare interoperability standards.
• Familiarity with cloud platforms (Azure, AWS, Google Cloud Platform) for healthcare data processing.
• At least 10 years + of relevant (Healthcare/ HEDIS) experience.