Data Analysis Specialist

Job Title: Data Analysis Specialist

Career Level - D

Introduction to role

As a Data Analysis Specialist, you will tackle complex data challenges, working under the guidance of experienced Data Analysts. Your role will involve supporting intricate data tasks, ensuring data quality, and translating business problems into data solutions.

Accountabilities

- Work autonomously on simple data analysis challenges or under supervision for more complex tasks.
- Collaborate with business users to define data requirements and translate unstructured problems into data solutions.
- Profile data to understand its provenance, quality, metadata models, ownership, and compliance with regulatory standards.
- Perform ad hoc data wrangling to support Data Science model generation and business insights.
- Assist data engineers in developing Source to Target pipelines (e.g., ETL design).
- Design and test the quality and performance of derivative data models in downstream reporting and analytics solutions.
- Process requests for compliant access to data.
- Define and manage information lifecycle management in data solutions.
- Provide data understanding to Architects, Data Engineers, and Data Scientists for use in Analytics projects.
- Support IT and business data teams in identifying and managing Critical Data Assets and Elements.
- Collaborate with Risk, Assurance, Privacy, Information Security, and Regulatory authorities to ensure adherence to data controls.
- Communicate insights and results clearly and objectively, including uncertainties and limitations.
- Pursue personal development and training in advanced data analysis skills, techniques, and tools.
- Develop domain data expertise in a specific area (e.g., chemistry, finance).

- Undergraduate degree in Computer Science, Data Management, or a related discipline (R&D, Finance, HR) or equivalent experience.
- Demonstrated experience in a data analyst or business role aligned with data and information management.
- Blend of data requirement analysis, data quality analysis, and data stewardship skills.
- Experience translating requirements into fit-for-purpose data models, processing designs, and profile reports.
- Proficiency in data modeling technologies.
- Experience in Agile data definition scrums.
- Familiarity with metadata cataloguing tools.
- Knowledge of key AZ policies and standards for data privacy and security.
- Strong written and verbal communication and consultancy skills.
- Awareness of end-to-end processes in building and supporting Data solutions.
- Experience applying a risk-based methodology to data and information management.

Desirable Skills/Experience

- Experience with Cloud Solutions, preferably hands-on with continuous integration or highly automated environments.
- Understanding of architecture and Data integration pipelines.
- Industry experience with large, complex data settings and optimization skills.
- Experience reusing metadata and prebuilt components from cataloguing tools.
- Awareness of the external market for data-related technology and best practices.
- Exposure to Data Pipelines (Ingest & Store, Data Preparation, Discover & Present, Insight & Experience).

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, our work directly impacts patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms and data. Join us at a crucial stage of our journey in becoming a digital and data-led enterprise. Here you can innovate, take ownership, explore new solutions, and experiment with leading-edge technology. Our dynamic environment offers countless opportunities to learn and grow while making a meaningful impact.

Ready to make a difference? Apply now to join our team!

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.