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 Plymouth 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 actively supported. As a Data Business Analyst, you'll engage in complex data transformation projects with leading enterprises, while enjoying the flexibility of hybrid working and opportunities for growth within a specialist consultancy that prioritises innovation and resilience.
StudySmarter Expert Advice🤫
We think this is how you could land Data Business Analyst in Plymouth
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with current employees at DigX. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for those interviews by practising common questions related to data flows and migration strategies. We recommend using the STAR method to structure your answers – it helps you showcase your experience clearly and effectively.
✨Tip Number 3
Show off your analytical skills! Bring examples of how you've tackled complex data requirements in the past. We love seeing candidates who can translate technical jargon into something everyone can understand.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at DigX.
We think you need these skills to ace Data Business Analyst in Plymouth
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, make sure you 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 pension products or migration projects. This will show that you understand the complexities involved in the role.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your analytical thinking and problem-solving skills. Think about how you would approach a data migration challenge or how you would document data requirements. Practising these scenarios can help you articulate your thought process clearly during the interview.
✨Showcase Your Stakeholder Management Skills
Since the role involves working closely with various stakeholders, be prepared to discuss how you've effectively communicated with both technical and non-technical teams in the past. Highlight any experiences where you successfully translated complex data needs into structured requirements for developers.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask insightful questions about DigX’s data strategies or their approach to handling legacy systems. This not only shows your genuine interest in the company but also gives you a chance to demonstrate your understanding of the industry and the challenges they face.
