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Sector: Audit, Data Science
Role: Analyst
Contract Type: Permanent
Hours: Full Time
Site Name: GSK HQ, Stevenage
Posted Date: Mar 13 2025
Come join us as we supercharge GSK's data capability!
At GSK, we are building a best-in-class data and prediction powered team that is ambitious for patients. As R&D enters a new era of data driven science, we are building a data engineering capability to ensure we have high quality data captured with context and aligned data models, so that the data is usable and reusable for a variety of use cases.
GSK R&D and Digital and Tech's collective goal is to deliver business impact, including the acceleration of the discovery and development of medicines and vaccines to patients. New teams in both R&D Development and Development Digital & Tech organizations are being established to focus on the governance and design of data assets.
Role Overview:
The Business Data Analyst contributes significantly to the mission to supercharge our data and is responsible for ensuring data domains and products are defined and delivered with findability, accessibility, interoperability, supportability, usability, and quality in mind. You will provide guidance around information architecture, data standards, and quality of the data products on the Development Data Fabric (DDF) in alignment with the data mesh architectural framework.
Key Responsibilities:
* Strategy: Work with data product owners, peers, and colleagues in Development Tech to define a framework for consistently and efficiently capturing data models, data dictionaries, business and technical metadata, and requirements for moving, processing, protecting, and using data within DDF.
* Analysis: Understand the systems and processes in Pharmaceutical R&D where data is generated, used, and reused to enable operations, inform decisions, and drive scientific innovations.
* Modelling: Build data models and associated artifacts to inform requirement and development activities.
* Lifecycle Management: Support the product and engineering teams during design and build by liaising with the business and technical team to deliver pertinent information.
Basic Qualifications:
* Bachelor's degree in computer science, engineering, or similar discipline.
* 5+ years Pharmaceutical R&D experience and/or exposure to enterprise architecture in an IT organization.
* Experience documenting user requirements for data and analytics products.
* Proficient with data modeling and data quality/profiling tools.
* Understanding of the data mesh framework and its application in Pharmaceutical R&D analytics.
* Experience with Pharmaceutical R&D industry data standards.
* Track record in delivering business impact through data and analytics enabled solutions.
* Excellent relationship management, strong influencing, and communication skills.
* Experience with Agile and DevOps Framework.
Preferred Qualifications:
* Life Sciences or Tech/Engineering related Master's or Doctorate.
* Experience of building Data Mesh (or similar architecture) in Pharmaceutical R&D.
* Understanding of where emerging data technologies can drive increased automation in the creation and management of data products.
* Familiar with design and architecture of BI and analytic environments.
* Enablement of AI/ML users and applications.
Closing Date for Applications: Thursday 27th March 2025 (COB)
Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. #J-18808-Ljbffr