At a Glance
- Tasks: Lead the evolution of a retail data platform and drive data-driven decision-making.
- Company: Global fashion brand with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible working, generous wardrobe allowance, and wellness support.
- Other info: Join a vibrant team with excellent career growth and a supportive culture.
- Why this job: Shape the future of data in a dynamic retail environment and make a real impact.
- Qualifications: Experience in product management or business analysis within data and analytics.
The predicted salary is between 80000 - 95000 £ per year.
Global fashion brand is seeking a hybrid Product Owner / Business Analyst to lead the evolution of a retail data platform, helping transform how the business uses data to drive growth, customer experience and operational performance.
Acting as the bridge between business stakeholders, Insights and Technology teams, as a Product Owner / BA you will shape the data roadmap, identify new opportunities for value creation and ensure data investments deliver meaningful business outcomes. Collaborating with senior leaders across the organisation, you will define and prioritise the data backlog, champion a single version of the truth for key business metrics and translate strategic objectives into clear requirements for data and engineering teams.
You will play a key role in helping the business become increasingly data driven, identifying new use cases, challenging existing processes and demonstrating how modern analytics can unlock competitive advantage. The role combines product ownership, stakeholder management and business analysis, requiring the ability to translate complex business needs into actionable user stories, data models and reporting capabilities. You will also drive adoption of self-service analytics, helping teams move from relying on static reports to making faster, insight‑led decisions through modern data platforms and tools.
Location / WFH: You'll join the team in the London office 2-3 days a week with flexibility to work from home.
About you:
- You have experience as a Product Manager and / or Business Analyst within a Data, Analytics or BI environment.
- You know how to elicit, analyse and document technical data requirements, prioritise these within a backlog and map the business processes that underpin them.
- You have a good understanding of a modern data stack (preferably BigQuery, Looker, ETL/ELT pipelines).
- You have experience in a fast paced Retail or Wholesale environment.
- You're collaborative and pragmatic, able to communicate effectively with business stakeholders and technical teams.
What's in it for you:
- Salary to £90k
- Flexible hybrid working
- Generous wardrobe allowance for yourself and discounts for family and friends
- 25 days holiday increasing to 28 days after 2 years continuous service, with an extra day for your birthday and "health days" to use for physical or mental wellness
- Enhanced family leave benefits (including neonatal, fertility, maternity, paternity, adoption, menopause)
- Life Assurance
- Discounted gym membership, wellbeing and lifestyle support
Apply now to find out more about this Product Owner / BA (Data Transformation) opportunity.
Product Owner / BA - Data Transformation employer: Client Server Ltd.
Join a global fashion brand that champions innovation and collaboration, offering a dynamic work culture where your contributions as a Product Owner / BA will directly influence the evolution of a cutting-edge retail data platform. With flexible hybrid working arrangements, generous benefits including a wardrobe allowance, enhanced family leave, and a strong focus on employee wellbeing, this is an excellent opportunity for growth in a fast-paced environment that values data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Product Owner / BA - Data Transformation
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We think you need these skills to ace Product Owner / BA - Data Transformation
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Client Server Ltd., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Client Server Ltd.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Client Server Ltd.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Client Server Ltd.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
