Data Analyst – Healthcare; Azure Databricks

Overview

Data Analyst – Healthcare (Azure Databricks). Fractal is a strategic AI partner to Fortune 500 companies with a focus on driving data-driven decisions across healthcare data domains, including claims, provider, member, and finance datasets. This role emphasizes data analysis, source-to-target mapping, governance, and analysis-ready data to support forecasting, reporting, and AI/ML use cases. The ideal candidate combines advanced SQL and data analysis skills with deep healthcare domain knowledge and hands-on experience with Azure Databricks and modern data platforms.

• Conduct data analysis and profiling of complex healthcare datasets (claims, providers, members, finance).
• Create and maintain Source-to-Target Mapping (STM) documents with traceability across systems.
• Define and standardize data definitions, business glossary, transformations, and business rules.
• Identify data anomalies and trends, and work toward resolution.
• Collaborate with business stakeholders to translate requirements into analytical solutions.
• Define and manage data intake processes and onboarding of new datasets.
• Act as a bridge between business, SMEs, data engineering, and data science teams for clarification and validation.
• Write and validate complex, optimized SQL queries for data extraction, transformation, and validation.
• Work with large datasets using Azure Databricks (Spark, SQL, Python/Scala) and validate data pipeline outputs.
• Leverage Snowflake and cloud data warehouses as applicable; collaborate with engineering teams to ensure scalable and secure data solutions.
• Handle healthcare data with attention to domain rules and data quality.

• Advanced SQL querying and optimization.
• Hands-on experience with Azure Databricks (Spark, Delta Lake).
• Experience with cloud data platforms (Azure, Snowflake; Big Query a plus).
• Knowledge of data modeling, ETL/ELT concepts, and data warehousing.
• Strong experience with healthcare data, especially claims data; familiarity with provider, member, and financial datasets.
• Understanding of healthcare data standards and business rules.
• Data profiling, root cause analysis, and validation expertise.
• Ability to create and maintain Source-to-Target Mapping documents.
• Ability to work with ambiguous requirements and drive clarity; strong problem-solving and troubleshooting skills.
• Excellent communication and stakeholder management; ability to work cross-functionally and take ownership.

• B.Tech/MCA (minimum 16 years of formal education).
• Overall 8+ years of experience.
• Minimum of 3 years of experience in Azure (ADF) and Databricks.
• 5 years of experience in writing advanced SQL.

• Improved data quality, consistency, and governance.
• Faster onboarding of new datasets with reduced dependency on engineering teams.
• Enhanced forecast accuracy and analytics reliability.
• Reduced manual data preparation effort.
• Delivery of business-ready, analysis-ready datasets for advanced analytics.

The wage range reflects relevant factors such as skill sets, experience, and location. Current estimated range: $140,000 – $160,000, with eligibility for discretionary bonuses based on performance.

Full-time or eligible hourly employees participate in health, dental, vision, life insurance, and disability plans. Benefits eligibility begins on the first day of employment. Participation in the Company 401(k) Plan begins after 30 days. The company provides 11 paid holidays and 12 weeks of parental leave, with a flexible time-off policy for sick time or vacation.

Fractal is an equal employment opportunity employer. Fractal does not discriminate or harass on any protected characteristic.

India:
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Outside India:
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