Business Data Analyst
On site
London, United Kingdom
Full Time
13-03-2025
Job Specifications
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:
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.
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...
About the Company
We are uniting science, technology and talent to get ahead of disease together. Our community guidelines: https://gsk.to/socialmedia Know more
Related Jobs
- Company Name
- Mayflower Recruitment Ltd
- Job Title
- Data Centre Operations Technician - North London, Farnborough or Corsham 40k - 45k
- Job Description
- We are looking for Data Centre Operations Technicians (Farnborough or Corsham) for a growing company. Key responsibilities for this job: Use internal ticketing systems and uphold fault resolution SLAs in line with contractual obligations around troubleshooting, configuration and replacement of components within a variety of managed services Hardware. (Servers, Switches, Firewalls, Storage Arrays etc). Installation, configuration and effective load balancing of Intelligent PDUs for power monitoring. Troubleshoot local area network (LAN) connectivity issues and support internal teams to re-establish remote access to customer environments via SSH, Terminal Services/Remote Desktop Services or Remote Access Controllers. Basic troubleshooting of structured cabling links between racks identifying any faults or inconsistencies and liaising with internal or external Cabling teams to repair and re-test. Build, utilize, maintain and deploy custom DCIM software ensuring 100% adoption and accuracy is achieved in all Exponential-e client Data Centres. Work with various departments within the business alongside professional and managed services as well as the Data Centre Managers to establish procedure improvements and knowledge sharing across departments. Drive operational excellence and continuous Improvement within the Data Centre by working closely with the Data Centre Specialists and Mangers to establish a library of supporting procedure documentation. Produce monthly reports on Space, Power & Structured Cabling capacity to ensure expansion and additional cabling deployments are addressed in a timely manner and Power is closely monitored. Participate, contribute and adhere to strict change control procedures when performing critical moves, adds and changes to any of the supported environments within the Exponential-e Data Centre’s. Build a good rapport and show competency with local policies and procedures of our third-party Data Centre providers and Hosts. Produce audit and quality control checks periodically on hardware and cabling deployments to ensure 100% system accuracy is maintained. Knowledge and experience required: Ideally 3+ Years working in a Managed Hosting/Public and or Private Cloud Enterprise Data Centre Environment. Experience working within a Hyper-Scale Cloud Data Centre (Desirable) Proficient in Server, Storage & Network deployment and ongoing break fix support. Basic knowledge and understanding of Data Centre M&E Design, Power, Cooling, Redundancy etc Deep understanding of DCIM tooling and the importance for accurate asset tracking and management – (Particularly NLyte). Experience with Structured Cabling deployments of Copper & Fibre – Including design and deployment - looming, testing and terminating principles (Desirable) Demonstratable experience in deploying a variety of industry recognized manufacturers of server, network and storage hardware in complex dedicated environment designs. Familiar with IT Hardware Concepts (RAID, SAN, x86 architecture, SCSI, FC, ethernet, iLO) Well organized and self-motivated with the ability to work alone and as part of a team. Proficient with productivity software including, but not limited to, Microsoft Office and Open Office as well as email client software. Excellent written and verbal communication skills with proficiency with Microsoft office applications. Ability to work well under pressure whilst maintaining attention to detail and being able to make informed decisions. Passionate, engaged and enthusiastic in delivering a world class service in everything you do. Willingness to participate in 24/7 on call Rota to support out of hours incidents. Full UK Driving License and personal car is a must for this position. Some travel will be made by flight or train and covered by company expenses. Mayflower is acting as an Employment Agency in relation to this vacancy.
- Company Name
- KP Law
- Job Title
- Data Analyst
- Job Description
- The Firm Established in 2020, KP Law (previously Keller Postman) is a specialist litigation boutique, focussing on collective redress. The firm has around 100 employees across offices in London, Liverpool, Birmingham, and Manchester, representing over 200,000 individual clients across a range of cases in areas such as product liability, competition, worker rights, data breach and privacy and financial services. The firm’s ethos is to combine the best legal talent with a strong operational and technological platform to enable its clients to pursue cases that could not otherwise be brought against large corporates as a result of their wrongdoing. Uniquely, KP Law is owned and fully financed by a recognised UK litigation funder (Asertis). All of its cases are for claimants and carried out under contingent fee agreements at no cost or risk to its clients. KP Law was ranked Tier 1 for Group Litigation: Claimant in The Legal 500 UK Guide 2024. This follows our success in 2023 where we received a commendation for ‘Litigation Boutique Firm of the Year’ at The Lawyer Awards 2023 and won the Race Equality Initiative of the Year at the 2023 Women & Diversity in Law Awards. The Role As a Data Analyst / Data Ops Analyst at KP Law, you will play a pivotal role in building reports and providing valuable insights and analysis to internal and external customers. Working in a small team, you will collaborate with Data Engineers and BI Developers to enable data-driven decision-making across the organisation. Role Responsibilities As a Data Analyst / Data Ops Analyst, your role will include, but is not limited to: Create and maintain comprehensive reports and dashboards that translate complex data into actionable insights Analyse large datasets to identify trends, patterns, and opportunities that support business objectives Collaborate with business stakeholders to understand their analytical needs and develop appropriate reporting solutions Ensure data quality and consistency across all reports and outputs Perform regular data cleansing and validation to maintain data integrity Develop and implement data visualization best practices to effectively communicate findings Support the implementation of data governance policies and procedures Automate routine reporting processes to improve efficiency Provide analytical support for key business initiatives and decision-making Document methodologies, processes, and results to ensure knowledge sharing Liaise with third parties, providing relevant data insights to support project delivery Person Specification Bachelor's degree in in a STEM field or previous experience in data analysis or business intelligence Proficiency in data visualization Power BI Experience with SQL and data manipulation Analytical mindset with strong problem-solving abilities Excellent attention to detail and commitment to data accuracy Strong communication skills with the ability to explain complex data in simple terms Proficiency in Microsoft Excel for advanced data analysis Experience in presenting findings to stakeholders at various levels Preferred but None Essential Skills: Knowledge of Python Experience with Azure cloud services and data platforms such as Databricks Understanding of data modelling concepts Familiarity with legal industry data and metrics Experience with ETL (Extract, Transform, Load) processes Equal Opportunities Our approach to our people is underpinned by our commitment to equity, diversity, inclusion and well-being. Our ambition is to build a richly diverse workforce made up of the best talent in our industry. With a workplace that is supportive and inclusive, recognises and nurtures talent, and has a strong sense of community between colleagues. This means that everyone who either applies to or works for KP Law is treated equally, regardless of their gender, age, ethnic origin, nationality, marital status, disability, sexual orientation, or religious beliefs. Our Values At KP Law, we pride ourselves on being a values-led law firm. This means: We do what we say we will do (both individually and collectively). We are transparent and honest. We always put our clients first. We treat everyone with respect. We are professional. We listen to feedback and strive for continual improvement. Our Benefits We offer an attractive benefits package, that employees value, no matter what stage of their career they are in. Current benefits include: Annual discretionary bonus scheme 25 days holiday plus bank holidays Company contributory pension scheme Hybrid working Life assurance Cash-back healthcare scheme Enhance family friendly polices Employee Assistance Programme Subsidised gym membership Cycle to Work scheme Staff referral scheme
- Company Name
- The Developer Link
- Job Title
- Software Engineer (Series A funded AI LLM Product)
- Job Description
- Software Engineer - £70-100k salary range - London Hybrid - AI Workflow Automation Product TDL are working with a Series A, ambitious start-up who are tackling manual admin heavy tasks across Fintech, Insurance and other surrounding sectors via their AI/LLM powered products. They are on the hunt for 2 new Developers to join the London based Engineering team. You'll ideally have experience using most of the following stack: Backend: Python, Flask/FastAPI Frontend: React with TypeScript Infra: Terraform, GCP/AWS Ideally you'll have at least an interest and have tinkered personally with LLM type projects. Huge bonus if you have commercial experience in this area alongside the above product stack. Engineering team is relatively flat under the CTO with Mid through to Staff Engineers all contributing code as their main role. Hybrid working London approx 2 days per week. Please apply with your CV if interested or contact mike@thedeveloperlink.io if you have any specific questions
- Company Name
- bet365
- Job Title
- Cloud Platform Engineer, Data Engineering
- Job Description
- Who we are looking for A Cloud Platform Engineer, who will be embedded within the teams responsible for the delivery and operation of cloud services within Data Engineering. The next stage of our initiative is to expand our public cloud capability and establish a seamless operating model. The aim is to leverage the speed of delivery and flexibility of the self-serve model, whilst maintaining a strong relationship with the core platform team. We are embedding Cloud Platform Engineers within the Data Engineering team to help build, operate and support critical cloud products. We’re looking for someone who has a passion for working on innovative initiatives and will make an immediate impact to the Business by bringing their own experience to a challenging but vibrant environment. You will be given the support and training to allow you to grow and progress within this position. This role suits those with a development background transitioning to cloud technologies or cloud engineers who want to work closely with development teams. This role is eligible for inclusion in the Company’s hybrid working from home policy. Preferred Skills, Qualifications and Experience Prior public cloud experience, preferably with Google Cloud. Strong core platform knowledge in Projects and Folders, IAM and Billing. Proficiency operating with Infrastructure as Code (IaC) using industry standard tooling, preferably Terraform and methodologies. Knowledge of GitOps and preferably experience of use. Proficiency of source code management; namely Git. Confident in utilising custom automation and scripting using tools such as G-Cloud, CLI, Bash, Python and Golang. Experience of modern platform stacks such as Kubernetes or GKE, as well as affiliated technologies and workflows including service mesh/ingress, CI/CD, monitoring stacks and security instruments. Experience of using and managing Docker images. Awareness of networking in Public Cloud environments. Awareness of key security considerations when operating in the public cloud. Main Responsibilities Working as an embedded Cloud Platform Engineer within a software function to deploy, operate and support related cloud resources. Taking accountability for the end-to-end delivery of cloud resources as part of software product initiatives. Working with and influencing others to advocate and guide technical aspects of cloud adoption. Working with the central Cloud Platform Team to embed key principles and standards in the operational running of responsible technologies. Supporting and consulting with stakeholders. Driving engineering excellence across your team by fostering modern engineering practices and processes. Working with the central Cloud Platform Team to help steer the next iteration of self-serve automation technologies. By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Policy - https://www.bet365careers.com/en/privacy-policy.