At a Glance
- Tasks: Lead the delivery of a global Customer Data Platform and ensure it's ready for launch.
- Company: Join a dynamic client in the retail and consumer goods industry.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: 12-month contract with a vibrant team and exciting challenges.
- Why this job: Make a real impact by managing customer data and driving adoption across markets.
- Qualifications: Experience in UAT, data validation, and familiarity with SQL or Python.
The predicted salary is between 70000 - 90000 £ per year.
A client in the retail and consumer goods industry is seeking a Customer Data Manager to join the team for a 12 month contract. You will lead the delivery and validation of a global Customer Data Platform, ensuring it is fully tested and ready for go-live. Reporting into a senior programme lead, you will work cross-functionally with business, technology and vendor teams to drive adoption, manage risk and establish a scalable, compliant data solution.
Responsibilities
- Own and execute end-to-end UAT strategy, including business validation across data, segmentation and customer journeys
- Develop and manage test cases covering data quality, logic, consent and lifecycle flows
- Lead migration from legacy systems, including data validation, reconciliation and cutover planning
- Establish governance frameworks and support post-launch stabilisation and adoption across markets
Requirements
- Strong background in UAT, data validation and go-live readiness
- Experience working across business, IT and third-party vendors in complex environments
- Hands-on experience with data tools such as SQL, Python, Snowflake or similar, with strong knowledge of data governance and GDPR
Details
- Duration: 12 months
- Location: Hybrid, minimum 2 days per week in London office
Customer Data Manager in London employer: Freshminds
Join a dynamic team in the heart of London, where innovation meets collaboration. As a Customer Data Manager, you'll thrive in a supportive work culture that prioritises employee growth and development, offering opportunities to enhance your skills while working on cutting-edge data solutions. With a focus on work-life balance and a hybrid model, this role provides the perfect environment for meaningful contributions in the retail and consumer goods sector.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Data Manager in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Freshminds before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Customer Data Manager in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Freshminds, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Freshminds, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Freshminds’s attention and show the tangible impact of your work.
How to prepare for a job interview at Freshminds
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Freshminds.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Freshminds.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Freshminds.
