Senior Data Quality Assurance Analyst

Job Title: Senior Data Quality Assurance Analyst

Career Level - D

Introduction to Role:

Join our Operations Global Data Office Team as a Senior Data Quality Assurance Analyst. This role is pivotal in delivering our Operations Data vision, which supports the successful delivery of the 2030 strategy. If you have experience in data management and data quality and have a proven track record working in a complex data environment, this could be the perfect opportunity for you!

Accountabilities:

As a Senior Data Quality Assurance Analyst, you will create data quality dashboards to ensure adherence to data standards and data governance policies. You will work closely with data stewards and business owners, developing SQL code for monitoring and measuring the quality of data. Your role will also involve supporting the remediation and cleansing of data.

Essential Skills/Experience:

• Highly experienced in developing and supporting the creation of data quality dashboards in Power BI

• Advanced T-SQL skills to support Data Analysis, Data Profiling and Data Quality rule creation

• Demonstrated experience & subject matter expertise within data management disciplines

• Expert in extracting and manipulating data in various formats

• Experience in working in a complex SAP data environment

• Excellent written and verbal communication skills

• Experience in Snowflake or similar for data lakes

• Strong desire to improve the quality of data

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

• Strong Stakeholder management skills

• Excellent 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 and or Supply Chain

• Experience of working in global change projects

• Bachelor's degree in computing, data or a related technology field, or equivalent number of years of experience

• Fluency in English

• Using one of the following tools or similar: Power automate, Qliksense, DataIKU or Python

• Knowledge of at least one standard data quality tool such as Alteryx, Aperture, Collibra, Trillium, Ataccama or SAS Viya

• Experience of any of the following for data cleansing – Winshuttle, Aperture or Celonis for data process mining

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

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.

Why AstraZeneca?

At AstraZeneca, we are driven by our commitment to deliver accelerated growth and to make people's lives better. We are a multigenerational workforce that thrives on curiosity and problem-solving. We welcome challenges and work towards new solutions. We are an inclusive community that supports each other on our journeys. We offer multiple global career opportunities and great rewards for those who embrace our diverse opportunities. We are leading the way in delivering Lean processes that drive greater efficiency and speed. Sustainable practices are at the heart of what we do. Join us as we strive for excellence in our complex environment.

Ready to make a positive impact? Apply now to be part of shaping the future of Operations here at AstraZeneca!

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.