At a Glance
- Tasks: Gather and document data requirements, support data initiatives, and ensure successful delivery.
- Company: Join a major retail organisation driving a global data transformation programme.
- Benefits: Outside IR35 contract, hybrid work, and potential for long-term extension.
- Other info: Engage with both business and technical teams in a dynamic, Agile environment.
- Why this job: Be part of a high-profile project using modern cloud technologies to make a real impact.
- Qualifications: Experience as a Business Analyst in data-focused programmes and strong stakeholder management skills.
The predicted salary is between 50000 - 60000 £ per year.
We're supporting a major retail organisation delivering a large-scale global data transformation programme focused on modernising data capabilities, replacing legacy platforms and creating a scalable, cloud-based data ecosystem.
The Opportunity
As a Data Business Analyst, you'll work across business and technology teams to define requirements, support data initiatives and ensure successful delivery across multiple workstreams. You'll play a key role in:
- Gathering and documenting business, functional and data requirements
- Facilitating stakeholder workshops across business and technical teams
- Producing user stories, process maps and acceptance criteria
- Supporting data mapping, lineage and source-to-target analysis activities
- Working closely with Data Engineers, Architects and Integration teams
- Supporting data migration, reporting, analytics and governance initiatives
- Assisting with UAT, business readiness and delivery planning
What We're Looking For
- Proven experience as a Business Analyst on data-focused programmes
- Strong requirements gathering and stakeholder management skills
- Experience working on data platform, reporting, analytics or data transformation projects
- Strong understanding of data flows, integrations and data modelling concepts
- Experience working in Agile delivery environments
- Ability to engage confidently with both business and technical stakeholders
Desirable Experience
- Exposure to some of the following would be beneficial: Snowflake, Azure, Power BI, SQL, dbt, Data Governance / Data Quality initiatives
- Retail, hospitality or consumer-facing industry experience would be advantageous.
Why Apply?
- Outside IR35 contract
- High-profile transformation programme
- Modern cloud and data technology stack
- Strong executive sponsorship and investment
- Long-term programme with extension potential
Data Business Analyst employer: Venturi
Join a leading retail organisation that prioritises innovation and employee development, offering a dynamic work culture where collaboration thrives. With a focus on modernising data capabilities, you'll have the opportunity to work with cutting-edge technology while enjoying the flexibility of a hybrid work model in London. Benefit from strong executive support and a commitment to your professional growth as you contribute to a high-profile global data transformation programme.
StudySmarter Expert Advice🤫
We think this is how you could land Data Business Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data or retail. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Prepare for interviews by brushing up on your data knowledge and understanding the latest trends in data transformation. We recommend practising common interview questions and scenarios related to data business analysis to show you're ready to hit the ground running.
✨Tip Number 3
Showcase your skills with a portfolio! If you’ve worked on relevant projects, compile them into a neat presentation. This gives potential employers a tangible sense of what you can bring to their data initiatives.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Business Analyst
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-focused programmes and any relevant skills that match the job description. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific projects you've worked on that relate to data transformation and how you’ve successfully engaged with stakeholders.
Showcase Your Skills:Don’t forget to showcase your skills in requirements gathering, stakeholder management, and Agile environments. We love seeing concrete examples of how you've used these skills in past roles, so be specific!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Venturi
✨Know Your Data Inside Out
Make sure you brush up on your data knowledge before the interview. Understand key concepts like data flows, integrations, and data modelling. Being able to discuss these topics confidently will show that you're not just familiar with the theory but can apply it in practice.
✨Master Stakeholder Engagement
Since you'll be working closely with both business and technical teams, practice how to communicate effectively with different stakeholders. Prepare examples of how you've facilitated workshops or gathered requirements in the past. This will demonstrate your strong stakeholder management skills.
✨Showcase Your Agile Experience
Familiarise yourself with Agile methodologies if you haven't already. Be ready to discuss your experience in Agile environments and how you've contributed to successful project deliveries. Highlight any specific tools or frameworks you've used to manage projects.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data initiatives. Think about how you would approach gathering requirements or supporting data migration. Practising these scenarios will help you articulate your thought process clearly during the interview.
