Business Data Analyst

GlaxoSmithKline
London
1 month ago
Applications closed

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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 useable 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. GSK Development and Development Digital & Tech are in the final stages of delivering on a multiyear investment aimed at modernizing the clinical development landscape. In order to ensure we maximize the value of the data we generate using these new systems in combination with the data assets we acquire externally, new teams in both the R&D Development and Development Digital & Tech organizations are being established to focus on the governance and design.

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. As a Business Data Analyst, 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:

  1. 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. Actively seek out opportunities to refine this framework and automate the creation/maintenance of information and artefacts. Keep abreast of emerging trends in data management technologies and integrated them into the target designs where appropriate.

  2. 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. Reverse engineer analytical use cases into data flows, target data models and data processing requirements. Partner with data product owners in the business and tech teams to document data quality checks and access management requirements. Partner with data quality and governance product owners to surface opportunities to leverage reference data, master data and/or ontology management platforms to drive standardization and interoperability.

  3. Modelling: Build data models and associated artefacts to inform requirement and development activities. Work with data product owners and subject matter experts to capture and maintain the metadata required to ensure data released to the Development Data Fabric is Findable, Accessible Interoperable and Reusable (FAIR).

  4. Lifecycle Management: Support the product and engineering teams during design and build by liaising with the business and technical team to answer key questions and deliver pertinent information. Partner with data stewards and technical support teams during use to investigate data quality and lineage issues. Enable the drive towards and adaptive and automated approaches to data governance and data management.

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

  1. Bachelor’s degree in computer science, engineering, or similar discipline.

  2. 5+ years Pharmaceutical R&D experience and / or exposure to enterprise architecture in an IT organization.

  3. Experience documenting user requirements for data and analytics products.

  4. Proficient with data modelling and data quality/profiling tools.

  5. Understanding of the data mesh framework and its application in Pharmaceutical R&D analytics including but not limited to Data integration, governance, quality, security, lineage, cataloguing, discovery, access, sharing, collaboration, etc.

  6. Experience with Pharmaceutical R&D industry data standards.

  7. Track record in delivering business impact through data and analytics enabled solutions.

  8. Excellent relationship management, strong influencing and communication skills.

  9. Experience with Agile and DevOps Framework.

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

  1. Life Sciences or Tech/Engineering related Master’s or Doctorate.

  2. Experience of building Data Mesh (or similar architecture) in Pharmaceutical R&D.

  3. Understanding of where emerging data technologies can drive increased automation in the creation and management of data products.

  4. Familiar with design and architecture of BI and analytic environments.

  5. 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.

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