At a Glance
- Tasks: Lead the implementation of a Customer Data Platform in the fashion retail industry.
- Company: Join a dynamic fashion retail client focused on customer data transformation.
- Benefits: Competitive salary, hybrid work model, and opportunity for professional growth.
- Other info: 12-month contract with potential for future opportunities.
- Why this job: Make a real impact by driving customer data initiatives in a vibrant industry.
- Qualifications: Experience in Customer Data Platforms and strong UAT skills required.
A client in the fashion retail industry is seeking a Customer Data Manager to join the team for a 12 month fixed-term contract. You will lead the final stages of a Customer Data Platform implementation, ensuring the platform is fully tested, validated and ready for go-live. You will work across business, technology and vendor teams to drive delivery, reporting into senior programme leadership, with the objective of enabling a successful customer data transformation.
Responsibilities
- Lead end-to-end UAT strategy and execution for the Customer Data Platform
- Manage data validation, migration and go-live readiness activities
- Coordinate with technology teams and vendors to resolve issues and ensure delivery
- Establish governance frameworks and support post-launch optimisation
Requirements
- Proven experience delivering Customer Data Platform or enterprise data platform implementations
- Strong background in UAT, data validation and go-live delivery
- Experience working across business and technical stakeholders in complex programmes
- Knowledge of data governance, data quality and customer data use cases
Details
- Start date: ASAP
- Duration: 12 months
- Salary: £75,000-£80,000
- Location: Hybrid, London
Customer Data Manager - Fashion Retail employer: Freshminds Interim
Join a leading consultancy that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact client success. With a focus on employee growth, you will have access to extensive training and development opportunities, all while enjoying the flexibility of a hybrid working model across the UK and Europe. This role not only provides competitive compensation but also the chance to work on high-impact projects that drive meaningful change in commercial strategy and pricing.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Data Manager - Fashion Retail
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We think you need these skills to ace Customer Data Manager - Fashion Retail
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Freshminds Interim, 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 Interim, 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 Interim’s attention and show the tangible impact of your work.
How to prepare for a job interview at Freshminds Interim
✨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 Interim.
✨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.
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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 Interim.
✨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 Interim.
