Data Analyst

Persistent Systems; Pune District; Hybrid; INR 2,600,000 - 3,800,000; Full time

Benefits offered by this job

Competitive salary

Talent development & education support

Hybrid work model

Cutting-edge technologies

Employee engagement events

Insurance coverage

Job summary

Persistent Systems seeks an experienced Data Analyst in Healthcare analytics to join our data team. You will utilize Azure Databricks, Spark SQL, and cloud data platforms to deliver analysis-ready datasets and support AI/ML initiatives.

You will collaborate with stakeholders, data engineers, and analytics teams to translate requirements into scalable data solutions while ensuring data quality and governance.

Qualifications

• 8+ years in Data Analysis, Data Warehousing, or Healthcare Analytics.
• Minimum 3 years of hands-on Azure Databricks and ADF experience.
• Strong advanced SQL development and performance tuning.
• Experience with healthcare claims data and related datasets.

Responsibilities

• Perform detailed data profiling and analysis of healthcare datasets including claims and financial data.
• Develop and maintain Source-to-Target Mapping (STM) documents for data migration.
• Define business rules, data definitions, and data quality standards.
• Identify data anomalies and work with stakeholders to resolve issues.
• Support data lineage, metadata management, and business glossary creation.
• Collaborate with business users, SMEs, and analytics teams to gather requirements.
• Translate requirements into data analysis and reporting solutions.
• Act as liaison between business, data engineering, and data science teams.
• Drive data intake and onboarding of new data sources.
• Develop, optimize, and validate SQL queries for data extraction and analysis.
• Work with Azure Databricks, Spark SQL, and cloud platforms to process large datasets.
• Validate data pipelines and transformation logic.
• Support data quality checks, reconciliation, and data certification.
• Partner with engineering teams to ensure secure, scalable data solutions.
• Analyze healthcare claims data and ensure compliance with business rules.

Skills

Data analysis

Healthcare analytics

Azure Databricks

SQL development

Data profiling

STM documentation

Data governance

Stakeholder management

Spark SQL

Cloud data platforms

Tools

Azure Databricks

ADF

Spark SQL

Delta Lake

Snowflake

Job description

We are seeking an experienced Data Analyst Healthcare (Azure Databricks) with 8+ years of experience in healthcare data analytics, data profiling, source-to-target mapping, and modern cloud-based data platforms. The ideal candidate will possess strong expertise in healthcare claims data, advanced SQL development, Azure Databricks, and business data analysis. This role will act as a critical bridge between business stakeholders, data engineering teams, analytics teams, and AI/ML initiatives to ensure delivery of high-quality, analysis-ready datasets.

• Role: Data Analyst
• Location: All Persistent Locations
• Experience: 8-12 yrs
• Job Type: Full Time Employment

What You'll Do:

• Perform detailed data profiling and analysis of complex healthcare datasets including claims, member, provider, dental, vision, and financial data.
• Develop and maintain comprehensive Source-to-Target Mapping (STM) documents for data migration and transformation initiatives.
• Define business rules, data definitions, transformation logic, and data quality standards.
• Identify data anomalies, inconsistencies, and trends and work with stakeholders to resolve issues.
• Support data lineage, metadata management, and business glossary creation initiatives.
• Collaborate closely with business users, SMEs, product owners, and analytics teams to gather and clarify requirements.
• Translate business requirements into actionable data analysis and reporting solutions.
• Act as a liaison between business, data engineering, and data science teams.
• Drive data intake and onboarding processes for new data sources and business requirements.
• Facilitate requirement workshops and data validation sessions with stakeholders.
• Develop, optimize, and validate complex SQL queries for data extraction, transformation, and analysis.
• Work with Azure Databricks, Spark SQL, and cloud-based data platforms to process large-scale datasets.
• Validate data pipelines and transformation logic developed by engineering teams.
• Support data quality checks, reconciliation processes, and data certification efforts.
• Partner with engineering teams to ensure secure, scalable, and efficient data solutions.
• Analyze healthcare claims data and ensure proper implementation of business rules and compliance requirements.
• Support initiatives involving claims, provider, member enrollment, financial, vision, and dental datasets.
• Validate healthcare-specific business logic and data transformation requirements.
• Assist stakeholders in interpreting complex healthcare data structures and relationships.
• Develop and execute data validation frameworks to ensure data accuracy and consistency.
• Establish reconciliation processes and quality monitoring mechanisms.
• Drive governance initiatives related to data standards, lineage, and compliance.
• Ensure business-ready and analysis-ready datasets for reporting, forecasting, and AI/ML initiatives.
• Support implementation of data engineering best practices, automation, monitoring, and governance standards.

Expertise you will bring:

• 8+ years of experience in Data Analysis, Data Warehousing, or Healthcare Analytics.
• Minimum 3 years of hands-on experience with Azure Databricks and Azure Data Factory (ADF).
• Strong expertise in advanced SQL development, query optimization, and performance tuning.
• Experience working with Spark SQL, Delta Lake, and large-scale distributed data processing platforms.
• Hands-on experience with cloud data platforms such as Azure and Snowflake.
• Strong understanding of ETL/ELT processes, data integration, and data warehousing concepts.
• Experience in data modeling, dimensional modeling, and analytical data structures.
• Ability to validate complex data transformation and engineering workflows.
• Strong experience working with healthcare claims data and related business processes.
• Knowledge of provider, member, enrollment, financial, vision, and dental datasets.
• Understanding of healthcare business rules, data standards, and regulatory requirements.
• Experience supporting healthcare analytics, forecasting, and operational reporting initiatives.
• Expertise in data profiling, root cause analysis, and data validation.
• Strong experience creating Source-to-Target Mapping (STM) documentation.
• Ability to work with ambiguous requirements and drive clarity across business and technical teams.
• Strong troubleshooting, analytical, and problem-solving skills.
• Experience defining business rules and data transformation specifications.
• Excellent communication and stakeholder management skills.
• Proven ability to collaborate with business, analytics, engineering, and data science teams.
• Strong ownership mindset with accountability for deliverables and outcomes.
• Ability to manage multiple priorities in a fast-paced environment.
• Strong documentation and presentation skills.
• Competitive salary and benefits package
• Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We support hybrid work and flexible hours to fit diverse lifestyles.
• Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."