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 growth.
- Benefits: Competitive salary up to £90k, hybrid work model, and career development opportunities.
- Other info: Collaborative environment with opportunities to challenge processes and drive change.
- Why this job: Shape the future of data in a dynamic industry and make a real impact.
- Qualifications: Experience in product ownership or business analysis, with strong stakeholder management skills.
The predicted salary is between 85000 - 90000 £ 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.
Product Owner / BA - Data Transformation in London employer: Client Server
Join a global fashion brand that champions innovation and collaboration, offering a dynamic work culture where your contributions as a Product Owner / Business Analyst will directly influence the evolution of our retail data platform. With a focus on employee growth, we provide ample opportunities for professional development and a hybrid working model that promotes work-life balance, all while being part of a team dedicated to transforming data into actionable insights that drive business success.
StudySmarter Expert Advice🤫
We think this is how you could land Product Owner / BA - Data Transformation in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Client Server!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Product Owner / BA - Data Transformation at Client Server.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Client Server.
✨Apply Directly through Our Website
When you find a suitable opening like Product Owner / BA - Data Transformation at Client Server, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Product Owner / BA - Data Transformation in London
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, 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. 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
✨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!
✨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.
