Healthcare Data Analytics Jobs (NOW HIRING)

It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Data Analyst - Healthcare (Azure Databricks)
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.
Please visit Fractal | Intelligence for Imagination for more information about Fractal.
Role Overview:
We are seeking an experienced Senior Data Analyst to drive data analysis, source-to-target mapping, and business-driven data insights across complex healthcare datasets, with a strong focus on claims data. This role will partner closely with business stakeholders, data engineering teams, and analytics initiatives to ensure high-quality, well-governed, and analysis-ready data to support forecasting, reporting, and AI/ML use cases.
The ideal candidate will combine strong SQL and data analysis expertise, deep healthcare domain knowledge (claims, provider, member data), and hands-on experience with Azure Databricks and modern data platforms.
Key Responsibilities:
Data Analysis & Mapping Perform initial data analysis and profiling of complex healthcare datasets (claims, providers, members, finance). Create and maintain Source-to-Target Mapping (STM) documents, ensuring traceability and accuracy across systems. Define and standardize data definitions, business glossary, transformations, and business rules. Identify data anomalies, trends, and inconsistencies and work towards resolution. Business Engagement & Intake Collaborate closely with business stakeholders to understand requirements and translate them into analytical solutions. Define and manage data intake processes, onboarding new datasets efficiently. Act as a bridge between business, SME, data engineering and data science teams for requirement clarification and validation. SQL & Data Processing Write and validate complex, optimized SQL queries for data extraction, transformation, and validation. Work with large datasets using Azure Databricks (Spark, SQL, Python/Scala). Support and validate data pipeline outputs developed in Databricks. Experience working with Snowflake and cloud-based data warehouses is a plus. Work with engineering teams to ensure scalable and secure data solutions.
Healthcare Data Expertise Analyze and handle healthcare claims data, ensuring compliance with domain-specific business rules. Work with datasets across Claims, Provider, Member, Vision, Dental, and Finance domains. Ensure correct interpretation of healthcare data structures and coding standards. Data Quality & Governance Ensure high standards of data quality, consistency, and governance. Develop and enforce validation frameworks and reconciliation processes. Document data lineage, definitions, and transformation logic.
Required Skills:
Technical Skills Strong experience in SQL (advanced querying, optimization) Hands-on experience with Azure Databricks (Spark, Delta Lake) Experience with cloud data platforms (Azure, Snowflake, BigQuery is a plus) Knowledge of data modeling, ETL/ELT concepts, and data warehousing Domain Expertise Strong experience in healthcare data, especially claims data processing Understanding of provider, member, financial datasets Familiarity with healthcare data standards and business rules Analytical & Functional Skills Expertise in data profiling, root cause analysis, and validation Experience creating Source-to-Target Mapping documents Ability to work with ambiguous requirements and drive clarity Strong problem-solving and troubleshooting skills Soft Skills Excellent communication and stakeholder management Ability to work cross-functionally with business and technical teams Strong ownership and accountability mindset
Required Qualification:

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

Key Outcomes / Success Metrics

• Improved data quality, consistency, and governance
• Faster onboarding of new datasets and 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
Pay:
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $140,000 - $160,000. In addition, you may be eligible for a discretionary bonus for the current performance period.
Benefits:
As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.
Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Hiring Related Queries
India: HiringsupportIndia@fractal.ai
Outside India: HiringsupportROW@fractal.ai
This inbox does not process resume submissions. All applications must be made through posted job openings
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!