Senior Analyst - Data Quality

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About the role

Job Title: Senior Analyst - Data Quality Career Level: D1 Introduction to role: Are you ready to turn raw data into trusted intelligence that accelerates decisions and improves patient outcomes? As a Senior Analyst - Data Quality based in Chennai, you will build the enterprise-grade controls that make our global data products accurate, reliable and ready for advanced analytics and AI. Your work will unlock confident decisions at scale across science, operations and markets. You will join a high-performing, digitally savvy team that thrives on inclusive collaboration and fast learning. By designing reusable validation frameworks, automation utilities and scalable monitoring, you will reduce data risk, speed up delivery and create transparency for customers. How will you translate complex pipelines into simple, measurable quality signals that teammates and leaders can act on fast? Accountabilities: Data Quality Engineering: Design, develop and implement SQL and Databricks validations aligned to business rules and quality standards, ensuring completeness, consistency and reliability across shared data platforms. Reusable Frameworks and Automation: Build modular scripts, utilities and reusable components in Python to scale data validation and monitoring across multiple pipelines and products. Monitoring and Reporting: Create and maintain Power BI dashboards, critical metric scorecards and reports that give customers self-service insight into data quality performance, SLA alignment and data health trends; provide clear narratives and alerts that drive action. Issue Triage and Root Cause Analysis: Lead investigations across source systems, ingestion pipelines and transformation layers to identify anomalies and systemic issues; partner with engineering and upstream teams to implement remediation and preventative controls. Data Governance and Documentation: Maintain robust documentation for data quality rules, validation logic, data contracts and critical metric definitions; support metadata tagging, taxonomy and ontology alignment to enable AI-ready data products. Customer Partnership and Enablement: Work closely with data product managers and multi-functional teams to embed quality by design, prioritize backlogs and communicate outcomes that influence decision-making. Continuous Improvement and Standards: Standardize guidelines for data quality across cloud platforms, continuously improve performance and cost efficiency, and help set enterprise-wide quality benchmarks that scale with growth. Essential Skills/Experience: • Education: Quantitative bachelor’s degree (Engineering, Statistics, Applied Math, Computer Science, Data Science, Economics, or related). • 5+ years of experience in data quality management, ETL data management systems, or data analytics roles. • Solid experience implementing data quality controls, data validation rules, or data integrity monitoring frameworks. • Demonstrated experience in ETL pipeline operations and management, with handson knowledge of modern data warehouse and data lake architectures. • Advanced SQL development skills including CTEs, window functions, complex joins, and performance optimization. • Experience working with distributed data processing platforms such as Databricks, Apache Spark, or PySpark. • Strong Python programming skills for automation, scripting, data processing. • Experience working with cloud data platforms such as AWS, MS-Azure, Snowflake, or Amazon Redshift. • Strong documentation, communication, and customer collaboration skills. Desirable Skills/Experience: • Experience with data observability tools or monitoring frameworks. • Experience with metadata driven validation or data contracts. • Familiarity with enterprise data governance platforms such as Colli

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