Lead Data Analyst
Role Overview
Persistent seeks a Lead Data Analyst focused on healthcare analytics, source-to-target mapping, and cloud data platforms.
The role drives data analysis, business insights, governance, and analytics enablement across healthcare claims, provider, member, and financial datasets.
Role details state full-time employment, 8–12 years of experience, and availability at all Persistent locations.
Key Skills for This Role
Full Job Posting
About the role
Persistent seeks a Lead Data Analyst focused on healthcare analytics, source-to-target mapping, and cloud data platforms.
The role drives data analysis, business insights, governance, and analytics enablement across healthcare claims, provider, member, and financial datasets.
Role details state full-time employment, 8–12 years of experience, and availability at all Persistent locations.
Responsibilities
- Profile and assess healthcare claims, provider, member, finance, vision, and dental datasets; identify anomalies, trends, and data-quality issues and drive resolution.
- Create and maintain source-to-target mappings, business rules, transformations, glossary terms, and enterprise data definitions.
- Translate stakeholder requirements into analytical and technical solutions; manage data intake and onboard datasets and business domains.
- Liaise with business users, subject-matter experts, engineers, and data scientists to clarify requirements and validate solutions.
- Develop complex SQL for extraction, transformation, reconciliation, validation, and reporting; work with large-scale data using Azure Databricks, Spark SQL, and Python.
- Validate engineering data-pipeline outputs and collaborate on scalable, secure, high-performing data solutions.
- Support data governance, quality, and regulatory standards; implement validation frameworks, reconciliation controls, and monitoring.
- Document lineage, transformation logic, metadata, and business rules; support forecasting, reporting, operational analytics, and AI/ML initiatives.
Required qualifications
- Requires 8–12 years in data analysis, healthcare analytics, data engineering, business intelligence, or analytics platforms.
- Requires healthcare data expertise across claims, provider, member, vision, dental, and financial datasets.
- Requires advanced SQL, hands-on Azure Databricks, Spark, Delta Lake, cloud platforms, and strong Python skills.
- Requires source-to-target mapping experience and knowledge of data warehousing, dimensional modeling, ETL/ELT, and enterprise analytics.
- Requires Azure cloud experience, root-cause analysis, data validation, business-rule implementation, and issue resolution.
- Requires experience supporting BI, reporting, advanced analytics, or AI/ML initiatives and strong analytical, communication, collaboration, and stakeholder skills.
- Snowflake and cloud data warehouse knowledge is an advantage.
Benefits and workplace
- Benefits include salary and benefits, talent development, company-sponsored education and certifications, flexible work hours, health check-ups, and insurance coverage.
- Persistent describes its work environment as hybrid with flexible hours and accessibility-friendly office facilities.
About Persistent
Persistent is an AI-led, platform-driven digital engineering and enterprise modernization partner serving clients across industries.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Persistent Systems
Senior Azure Data Engineer
, IND
Persistent is seeking a Senior Azure Data Engineer to build and support scalable cloud data platforms, pipelines, and services. Candidates need 6–10 years of data engineering experience and strong hands-on expertise in A
Azure Data Engineer
, IND
Persistent Systems is seeking an experienced Azure Data Engineer to build and optimize enterprise data pipelines and cloud data solutions. Candidates should bring 5–8 years in data engineering, hands-on Azure Data Factor
Senior Azure Data Engineer
, IND
Persistent is seeking a Senior Azure Data Engineer to build and support scalable cloud data platforms and data-intensive applications. Candidates need 6–10 years of experience, including Azure or AWS, Databricks, Kafka,
Azure Data Engineer - (Snowflake & ADB)
Pune, IND
Persistent is seeking an experienced Azure Data Engineer to build and optimize cloud data platforms, pipelines, and Lakehouse solutions across Azure and Snowflake. Candidates need 3–8 years of data engineering experience
Azure Data Engineer
, IND
Persistent Systems is seeking an experienced Azure Data Engineer to build and optimize enterprise data pipelines and cloud data solutions. Candidates should bring 5–8 years in data engineering, hands-on Azure Data Factor
Senior Azure Data Engineer
, IND
Persistent Systems is seeking a Senior Azure Data Engineer to deliver secure, reliable cloud data platforms for enterprise analytics, reporting, and healthcare initiatives. Applicants should have 6–10 years of data engin
Azure Data Engineer - (Snowflake & ADB)
Pune, IND
Persistent is seeking an experienced Azure Data Engineer to build and optimize cloud data platforms, pipelines, and Lakehouse solutions across Azure and Snowflake. Candidates need 3–8 years of data engineering experience
Senior Azure Data Engineer
, IND
Persistent is seeking a Senior Azure Data Engineer to build and support scalable cloud data platforms and pipelines using Azure, Databricks, Spark, Snowflake, and related technologies. The role requires 6–10 years of dat
Senior Azure Data Engineer
, IND
Azure Data Engineer
, IND
Senior Azure Data Engineer
, IND
Azure Data Engineer - (Snowflake & ADB)
Pune, IND
Azure Data Engineer
, IND
Senior Azure Data Engineer
, IND
Azure Data Engineer - (Snowflake & ADB)
Pune, IND
Senior Azure Data Engineer
, IND