Analyst – Data Quality

Job Title: Analyst – Data Quality

Career Level: C3

Introduction to the role

The Data Quality Analyst supports the implementation and monitoring of data quality controls across global data products and shared data platforms. The role focuses on accomplishing data validation checks and monitoring data health. It also supports resolving data quality issues to ensure data is accurate, complete, and reliable for downstream analytics and reporting.

The role will work closely with senior team members, data engineers, and business collaborators to support data quality monitoring, documentation, and governance activities across enterprise data platforms.

Accountabilities

Data Quality Management

• Implement data validation and data quality rules using SQL to assess data completeness, accuracy, and consistency.

• Develop scripts and reusable queries to support data validation, monitoring, and routine data quality checks.

Data Quality Monitoring and Reporting

• Support the development and maintenance of Power BI dashboards, benchmark scorecards, and monitoring reports to track data quality performance, issue backlogs, SLA alignment, and data health trends.

• Assist collaborators in accessing and interpreting data quality metrics and reports.

Issue Triage and Root Cause Analysis

• Investigate data quality issues across source systems, ingestion pipelines, and transformation layers.

• Collaborate with data engineering and upstream system teams to support issue resolution and validation of fixes.

Documentation and Data Governance

• Maintain documentation for data quality rules, validation logic, important metric definitions, and monitoring processes.

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

Essential Skills

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

• Experience in data quality, data analytics, data management, or related data roles.

• Experience implementing data validation checks, data profiling, or data quality monitoring.

• Strong SQL skills including joins, aggregations, and query optimization.

• Basic to intermediate experience with Python for scripting, automation, or data processing.

• Strong documentation, communication, and collaborator collaboration skills.

Desirable Skills

• Experience with data observability tools or monitoring frameworks.

• Exposure to cloud data platforms such as AWS, Microsoft Azure, Snowflake, or Amazon Redshift.

• Experience working with data pipelines, ETL/ELT processes, or data transformation workflows.

• Experience with validation processes that rely on detailed data descriptions 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

02-Jun-2026

Closing Date

03-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.

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 authorisation and employment eligibility verification requirements.