Senior Data Quality Assurance Analyst

Job Title: Senior Data Quality Assurance Analyst

Career Level :: D

Introduction to role:

Are you ready to play a pivotal role in transforming data quality within a global pharmaceutical environment? Join our Operations Global Data Office as a Senior Data Quality Assurance Analyst, where you'll be instrumental in developing solutions to enhance data quality within our SAP systems. Your expertise will drive the creation of data quality rules and dashboards, ensuring alignment to standards and governance policies. Collaborate with data stewards and business owners to develop code for monitoring and measuring data quality, focusing on root cause analysis and prevention of data issues. Are you solution-oriented and passionate about testing? This is your chance to make a significant impact!

Accountabilities:

• Develop and support the creation of data quality dashboards in Power BI by extracting data from various Global SAP systems into Snowflake.

• Work extensively with collaborators to define requirements for continuous data quality monitoring.

• Provide extensive data analysis and profiling across a wide range of data objects.

• Develop and implement the data quality framework and operating model.

• Focus on high levels of process automation to ensure data and results are up-to-date.

• Conduct extensive data analysis to detect incorrect patterns in critical data early.

• Facilitate matching or linking multiple data sources together for continuous DQ monitoring.

• Embed ongoing data quality monitoring by setting up mechanisms to track issues and trends.

• Conduct root cause analysis to understand causes of poor quality data.

• Train, coach, and support data owners and stewards in managing data quality.

Essential Skills/Experience:

• Experience developing and supporting the creation of data quality dashboards in Power BI, by extracting data from various Global SAP systems into Snowflake and develop rules for identifying DQ issues using Acceldata or something similar.

• Demonstrated experience & domain expertise within data management disciplines, including the three pillars of data quality, data governance and data architecture.

• Advanced programming skills in T-SQL or similar, to support data quality rule creation.

• Advanced data profiling and analysis skills evidenced by use of at least one data profiling analysis tool. For example, Adera, DataIKU or Acceldata.

• Strong ETL automation and reconciliation experience.

• Expert in extracting and manipulating and joining data in all its various formats.

• Excellent visualizing experience, using Power BI or similar for monitoring and reporting data quality issues. Key aspect of the role is to create self-serve data quality dashboards for the business to use for defect remediation and trending.

• Excellent written and verbal communication skills with the ability to influence others. to achieve objectives.

• Experience in Snowflake or similar for data lakes.

• Strong desire to improve the quality of data and to identify the causes impacting good data quality.

• Experience of Business and IT partnering for the implementation of Data Quality KPIs and visualisations.

• Strong Team member management skills with a good attention to detail.

• Ability to work in fast-paced, dynamic environment and manage multiple streams of work simultaneously.

• Experience of working in a global organisation, preferably within the pharmaceuticals industry.

• Experience of working in global change projects.

• Extensive knowledge of data quality with the ability to develop and mature the data quality operating model and framework.

• Knowledge of at least one standard data quality tool. For example, Acceldata, Alteryx, Aperture, Trillium, Ataccama or SAS Viya.

Desirable Skills/Experience:

• Using one of the following data lineage or governance tools or similar. For example, Talend or Collibra.

• Experience in working in a complex MDG SAP data environment.

• Experience of any of the following for data cleansing – Winshuttle or Aperture

• Working within a lean environment and knowledge of data governance methodologies and standards.

• Knowledge of automation and scheduling tools.

• Extensive knowledge of risk and data compliance.

• Experience in data observability using AI pattern detection.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire 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.

At AstraZeneca, innovation is at the heart of everything we do. We embrace change by trialing new solutions with patients and business needs in mind. Our diverse workforce is united by curiosity, sharing findings, and scaling fast. Be part of a digitally-enabled journey that impacts society, the planet, and our business by delivering life-changing medicines.

Ready to make a difference? Apply now!

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.