Lead Data Analyst

About Persistent

We are an AI-led platform-driven Digital Engineering and Enterprise Modernization partner combining deep technical expertise and industry experience to help our clients anticipate whats next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India and numerous innovators across the healthcare ecosystem.

Our disruptors mindset commitment to client success and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation leadership and inclusion. We reported $1654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27500 global team members located in 18 countries have been instrumental in helping the market leaders transform their industries.

AboutPosition:

We are seeking an experienced Lead Data Analyst with strong expertise in healthcare data analytics source-to-target mapping and cloud-based data platforms. The ideal candidate will be responsible for driving data analysis business-driven insights data governance and analytics enablement across complex healthcare datasets with a strong focus on claims provider member and financial data.

• Role: Lead Data Analyst - Healthcare Analytics & Azure Databricks
• Location: All Persistent Locations
• Experience: Between 8 to 12 Years
• Job Type: Full Time Employment

WhatYoullDo:

• Perform detailed data profiling analysis and assessment of complex healthcare datasets including claims providers members finance vision and dental data.
• Create and maintain Source-to-Target Mapping (STM) documents to ensure data traceability consistency and accuracy across systems.
• Define business rules data transformations business glossary terms and enterprise data definitions.
• Identify data anomalies inconsistencies trends and quality issues and drive resolution activities.
• Collaborate closely with business stakeholders to understand requirements and translate them into analytical and technical solutions.
• Manage data intake processes and support onboarding of new datasets and business domains.
• Act as a liaison between business users SMEs data engineers and data scientists for requirements clarification and solution validation.
• Develop and validate complex SQL queries for data extraction transformation reconciliation and reporting.
• Work with large-scale datasets using Azure Databricks Spark SQL Python and cloud-based analytics platforms.
• Validate and support data pipeline outputs delivered by engineering teams.
• Ensure compliance with data governance data quality and regulatory standards.
• Design and implement validation frameworks reconciliation controls and data quality monitoring processes.
• Document data lineage transformation logic metadata and business rules.
• Support forecasting reporting operational analytics AI/ML enablement and advanced analytics initiatives.
• Collaborate with engineering teams to ensure scalable secure and high-performing data solutions.

ExpertiseYoullBring:

• 8-12 years of experience in Data Analysis Healthcare Analytics Data Engineering Business Intelligence or Analytics platforms.
• Strong expertise in healthcare domains including Claims Provider Member Vision Dental and Financial datasets.
• Advanced SQL expertise including query optimization data profiling validation reconciliation and performance tuning.
• Hands-on experience with Azure Databricks Spark Delta Lake and cloud-based data platforms.
• Strong Python skills for data analysis validation automation and reporting.
• Proven experience creating Source-to-Target Mapping (STM) documentation and business mapping artifacts.
• Strong understanding of data warehousing dimensional modeling ETL/ELT concepts and enterprise analytics platforms.
• Experience working with Azure cloud services and modern data ecosystems.
• Knowledge of Snowflake and cloud data warehouses is an advantage.
• Expertise in root cause analysis data validation business rule implementation and issue resolution.
• Experience supporting Business Intelligence Advanced Analytics Reporting and AI/ML initiatives.
• Ability to work with ambiguous requirements and transform them into actionable business solutions.
• Strong analytical troubleshooting and problem-solving skills.
• Excellent communication stakeholder management and collaboration skills.
• Strong ownership mindset with the ability to lead data analysis initiatives independently.

Benefits:

• 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
• Annual health check-ups
• Insurance coverage: group term life personal accident and Mediclaim hospitalization for self spouse two children and parents

Values-DrivenPeople-Centric&InclusiveWorkEnvironment:

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.

Lets unleash your full potential at Persistent - is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.