At a Glance
- Tasks: Support data transformation programmes and translate complex requirements for engineering teams.
- Company: Join DigX, a fast-growing digital transformation consultancy with a remote-first culture.
- Benefits: Gain exposure to high-impact projects and receive active support for your development.
- Other info: Work in a high-trust environment with opportunities for career growth.
- Why this job: Make a real impact in data transformation while building your consulting career.
- Qualifications: Experience in data-heavy environments and strong analytical skills required.
The predicted salary is between 45000 - 55000 £ per year.
About DigX
DigX is a specialist digital transformation consultancy delivering complex engineering, data, cloud, and automation solutions for organisations that need to modernise at pace. We partner with major enterprises, including FTSE 100 firms, to turn technology into a catalyst for growth, resilience, and innovation.
We are growing fast, and we’re now looking for a Data Business Analyst to join our high‑performing consulting practice.
If you’ve worked across pension products, legacy data, platform migrations, and regulated delivery, and you know how to structure, map, and translate complex data requirements into something engineers can actually build... this role is for you.
We have a satellite office in London and are headquartered in the North Midlands. Due to the nature of our work, we operate a remote first / hybrid policy, with occasional travel to both client and DigX offices.
The Opportunity
As a Data Business Analyst at DigX, you’ll play a key role in supporting large‑scale Life & Pensions transformation programmes, with a particular focus on data flows, migration, and platform integration. You’ll work closely with senior consultants, architects, engineers, and client stakeholders to bring clarity and structure to complex data landscapes. You will break down requirements, define data mappings, and help ensure that delivery teams can confidently build, validate, and deploy solutions in regulated environments. This is an applied role that combines analytical thinking, data understanding, and technical translation – giving you the opportunity to deepen your consulting capability and take ownership of increasingly complex workstreams over time.
What You’ll Be Doing
- Supporting workshops and data‑focused discovery and analysis activities
- Gathering, documenting, and refining data requirements and data flows
- Translating business needs into clear, structured requirements for developers and data engineers
- Contributing to migration approach, data strategy, and delivery planning
- Helping define outcomes, KPIs, and success measures for data migrations and transformations
- Supporting data mapping, transformation logic, validation, and reconciliation activities
- Documenting source-to-target mappings, data lineage, and transformation rules
- Supporting integration activities between legacy systems and target platforms
- Identifying data risks, gaps, and dependencies, with clear escalation where needed
- Producing clear, accurate documentation to support delivery and assurance
- Contributing to reusable assets, frameworks, and data best practices
What You’ll Bring
- Experience working as a Business Analyst or Data Business Analyst within Life & Pensions or similarly regulated environments
- Experience working on data-heavy or migration-led programmes
- Strong understanding of data flows, data mapping, transformation, and validation processes
- Experience breaking down and structuring requirements for engineering or development teams
- Exposure to working across legacy systems, target platforms, and integrations
- Strong attention to detail and structured, logical thinking
- Confidence working with stakeholders across business, data, and technical teams
- A proactive mindset and willingness to learn within complex delivery environments
Why Join DigX?
At DigX, you’ll join a consultant‑led, high‑trust environment where expertise matters and development is actively supported. You’ll work on genuinely complex programmes, gain exposure to high‑impact data transformation work, and build your consulting career in a firm that specialises – not generalises.
Apply today for immediate consideration.
DigX will never discriminate on the basis of gender, race, colour, religion or belief, sexual orientation, disability, age, marital status or any other protected class.
Data Business Analyst in Cheltenham employer: DigX
At DigX, we pride ourselves on being a remote-first employer that fosters a high-trust environment where your expertise is valued and your professional development is prioritised. As a Data Business Analyst, you'll engage in impactful data transformation projects while collaborating with top-tier professionals, ensuring you have ample opportunities for growth and advancement in your consulting career. Join us to be part of a dynamic team that thrives on innovation and complex problem-solving, all from the comfort of your own home or our London office.
StudySmarter Expert Advice🤫
We think this is how you could land Data Business Analyst in Cheltenham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at DigX. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for interviews by practising common questions related to data flows and migration. We recommend using real-life examples from your experience to showcase your skills.
✨Tip Number 3
Showcase your analytical thinking! During interviews, be ready to discuss how you've structured complex data requirements in the past. This will highlight your fit for the Data Business Analyst role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Data Business Analyst in Cheltenham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Business Analyst role. Highlight your experience with data flows, migrations, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your background in Life & Pensions makes you a great fit for us. Keep it concise but impactful!
Showcase Your Analytical Skills:In your application, don’t forget to showcase your analytical thinking and problem-solving abilities. Share examples of how you've structured complex data requirements or contributed to successful data migrations in the past.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application quickly. Don’t miss out on this opportunity!
How to prepare for a job interview at DigX
✨Know Your Data Inside Out
Before the interview, brush up on your knowledge of data flows, mapping, and transformation processes. Be ready to discuss specific examples from your past experiences, especially those related to Life & Pensions or migration-led programmes. This will show that you understand the complexities of the role.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or describe how you would handle certain situations. Think about how you would approach gathering requirements or managing stakeholder expectations in a complex delivery environment. Practising these scenarios can help you articulate your thought process clearly.
✨Showcase Your Communication Skills
As a Data Business Analyst, you'll need to translate complex data requirements into clear instructions for engineers. During the interview, demonstrate your ability to communicate effectively with both technical and non-technical stakeholders. Use examples where you've successfully bridged the gap between different teams.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current data transformation projects or how they measure success in their data migrations. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
