Business Data Analyst

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:

• 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

• 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.

• 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).

• 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:

• 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 modelling and data quality/profiling tools

• 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.

• 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:

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

• 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. The information that you have provided in your cover letter and CV will be used to assess your application.

During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact 0808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process.

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Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class*(*US only).

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on Ukdiversity.recruitment@gsk.com or 0808 234 4391.  The helpline is available from 8.30am to 12.00 noon Monday to Friday, during bank holidays these times and days may vary.

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