Senior Analyst – Data Quality

Job Title: Senior Analyst – Data Quality

Career Level: D1

Introduction to the role

The Senior Data Quality Analyst is responsible for designing, implementing, and continuously improving scalable data quality controls across global data products and shared data platforms. The role combines expertise in data quality management and analytics to ensure data is accurate, complete, consistent, and reliable for downstream analytics, reporting, and advanced data use cases.

The role will contribute to the development of reusable validation frameworks, automation utilities, and scalable monitoring capabilities to enable enterprise-wide data quality management across modern cloud data platforms.

Accountabilities

Data Quality Management

• Design and implement data validation and quality rules using SQL.

• Build modular scripts, utilities, and reusable components to support scalable data validation and monitoring.

Data Quality Monitoring and Reporting

• Build and maintain Power BI dashboards, important metric scorecards, and monitoring reports to track data quality performance, issue backlogs, SLA alignment, and data health trends.

• Enable business collaborators to access self-service awareness of data quality metrics.

Issue Triage and Root Cause Analysis

• Lead issue investigation and root cause analysis across source systems, ingestion pipelines, and transformation layers.

• Work with data engineering and upstream system teams to implement remediation and preventative controls.

Documentation and Data Governance

• Maintain documentation for data quality rules, validation logic, data contracts, and benchmark definitions.

• Support metadata tagging, taxonomy and ontology alignment to enable AI-ready data products, while collaborating closely with Data Product Managers, Market CoE squads, and central Data & Governance teams to ensure consistent data standards and discoverability.

Essential Skills

• Education: Quantitative bachelor’s degree (Engineering, Statistics, Applied Math, Computer Science, Data Science, Economics, or related).

• 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 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.

When we bring together unexpected teams in the same room, we ignite bold thinking with the power to encourage life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Why AstraZeneca:

Here, data is a strategic asset and your craft has enterprise-wide impact. You will partner with diverse experts, from engineers to product leaders, to build trustworthy data foundations that accelerate science and streamline operations. We put unexpected teams in the same room to spark bold ideas, pair innovative platforms with practical delivery, and value kindness alongside ambition. You will be supported with strong tools, a global network that shares and learns together, and the freedom to challenge how things have always been done—so your improvements translate into faster insights and better outcomes for patients.

If you’re ready to lead the charge on trustworthy data and turn meticulous governance into real-world impact, step forward and shape what better looks like with us today!

Date Posted

Closing Date

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.