Associate – Data Quality

We are seeking a diligent Associate – Data Quality to support the monitoring and maintenance of data quality across OBU data assets. The role focuses on executing defined data quality checks, supporting issue investigation, and maintaining data monitoring processes to ensure reliable and consistent data for business use. The ideal candidate will have a strong analytical mindset, basic technical capabilities, and a willingness to learn data quality and governance practices in a complex data environment.

Data Quality Setup:

• Assist in profiling datasets to identify patterns, anomalies, and potential quality issues.

  
  

• Run predefined data quality checks using SQL or Databricks to monitor data completeness, accuracy, and consistency.

  
  

• Support routine validation of datasets based on defined business rules.

  
  

• Collaborate closely with data product owners to oversee the quality of designated data assets.

  
  

• Apply Databricks or SQL tools to conduct routine assessments on data integrity.

  
  

Operational Reporting:

• Prepare reports summarizing data quality checks, monitoring results, and identified issues.

  
  

• Support creation of dashboards or reporting inputs for collaborators.

  
  

• Maintain documentation of data quality checks, business rules, and monitoring procedures.

  
  

Issue Identification:

• Assist in identifying data discrepancies through monitoring reports and analysis.

  
  

• Log and track data issues in designated tracking tools.

  
  

• Support in investigating data quality issues by retrieving relevant datasets and performing preliminary analysis.

  
  

• Maintain records of data issues, validation checks, and resolution updates..

  
  

• Support automation and improvement initiatives for recurring monitoring and reporting activities.

  
  

Essential Skills

• 0–3 years of experience in data analysis, data operations, or data quality roles.

  
  

• Basic knowledge of SQL and data analysis concepts.

  
  

• Strong attention to detail and analytical approach.

  
  

• Good problem-solving and investigative skills.

  
  

• Proficiency in Microsoft Excel and other Office applications.

  
  

• Good written and verbal communication skills.

  
  

• Ability to work collaboratively within a team environment.

  
  

• Exposure to SQL-based data platforms (e.g., Databricks).

  
  

• Basic understanding of data quality concepts or data governance.

  
  

• Experience working with dashboards or reporting tools (e.g., Power BI).

  
  

• Exposure to cloud-based data environments.

  
  

• Experience working in a global or data-driven organization.

  
  

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.

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.