Senior Data Quality Analyst

Senior Analyst-Data Quality Solution

Job Title: Senior Analyst-Data Quality Solution

Career Level: D1

Introduction to role:

Are you ready to turn complex, messy data into trusted insights that accelerate decisions from the lab to the boardroom? In this Chennai-based role, you will build the controls and monitoring that keep our global data products accurate, consistent, and ready for high-stakes analytics and AI. Your work will underpin reporting, forecasting, and enterprise initiatives that ultimately help improve outcomes for patients.

You will join a team investing in modern cloud infrastructures, automation, and reusable frameworks to improve integrity and reliability of data across the enterprise. Here, you will not just fix issues; you will design durable validation, observability, and governance capabilities that prevent them. Can you picture your dashboards highlighting a trend before it becomes an incident—and your root-cause analysis guiding a permanent fix?

Accountabilities:

• Data Quality Solution Design: Design, develop, and implement data quality solutions using SQL, Python, and Power Apps across data warehouses, data lakes, and data mesh architectures, ensuring enterprise-grade accuracy, completeness, consistency, and reliability.

• Scalable Validation and Utilities: Build modular scripts, utilities, and reusable components that enable consistent, repeatable data validation and monitoring at scale.

• Monitoring and Insight: Build and maintain Power BI dashboards, benchmark scorecards, and supervising reports to track data quality performance, issue backlogs, SLA consistency, and data health trends; translate signals into clear actions

• Governance and Risk Visibility: Establish and run governance forums, providing timely updates on key risks, metrics, and remediation progress to drive accountability and priority alignment.

• Issue Triage and Root Cause: Lead investigations across source systems, ingestion pipelines, and transformation layers; implement corrective and preventive actions with technology and business partners and validate fixes to prevent recurrence.

• Collaborator Partnership: Partner with business users, data owners, and technical teams to understand data flows, business rules, and quality expectations; prioritize and resolve data quality concerns impacting reporting and operations.

• Documentation and Data Governance: Maintain documentation for data quality rules, validation logic, data contracts, and KPI definitions; support metadata tagging, taxonomy, and ontology alignment to enable AI-ready data products in collaboration with product and governance teams.

• Process Improvement and Automation: Find opportunities to improve monitoring frameworks, controls, and operating processes; automate and standardize recurring monitoring, reporting, and reconciliation activities for reliability and speed.

• Capability Building: Promote collaboration and effective methods; contribute to reusable frameworks that improve data quality across global teams.

Essential Skills/Experience:

• Education: Quantitative bachelor’s degree

• 5+ years of experience in data quality management, data management systems, or data analytics roles.

• Good experience implementing data quality controls, data validation rules, or data integrity monitoring frameworks.

• 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 collaborator collaboration skills.

Desirable Skills/Experience:

• Experience with data observability tools or monitoring frameworks.

• Experience with validation based on metadata or data contracts.

• Familiarity with enterprise data governance platforms such as Collibra.

• Experience working in large global organizations or regulated industries.

• Exposure to pharmaceutical, healthcare, or commercial analytics datasets.

• Experience with Power BI, Excel, or BI tools for data quality monitoring and reporting.

Why AstraZeneca:

Join a global team using data and digital innovation to move faster and make a bigger difference for patients. You will work with modern cloud platforms, predictive analytics, and smart automation to build the trusted data foundation that powers our transformation. Expect unexpected teams in the same room unleashing bold thinking, the freedom to challenge how things are done, and the support to learn, iterate, and grow. We value kindness alongside ambition, and we back our people to take smart risks and see them through—because when high standards meet real collaboration, we create impact that matters.

Call to Action:

If you want to shape the data standards that power discovery and delivery, bring your expertise to Chennai and help us build the trusted data backbone for what comes next!

Date Posted

05-Jun-2026

Closing Date

11-Jun-2026

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Experience Level

Senior Level