At a Glance
- Tasks: Analyse customer data to enhance Retail Media campaigns and drive performance.
- Company: Join a dynamic Analytics & Data Science team in a leading retail environment.
- Benefits: Competitive daily rate, hybrid work model, and opportunity for impactful work.
- Other info: Exciting contract role with potential for career advancement.
- Why this job: Make a real difference by leveraging data to shape marketing strategies.
- Qualifications: Experience in data analysis, SQL skills, and a passion for retail media.
The predicted salary is between 40000 - 50000 £ per year.
Digital Analyst - Retail Media & CRM (Contract) in London (Hybrid) for £500-£550 per day (Inside IR35) for 6 Months.
We're hiring a Senior Analyst to join a growing Analytics & Data Science team, supporting a high-impact Retail Media function. This role is focused on leveraging first-party customer data to drive audience strategy, campaign performance, and measurable commercial outcomes. You'll partner closely with Retail Media, CRM, and Loyalty teams to design and evaluate customer-led activation, ensuring campaigns are effective, scalable, and deliver clear value to both the business and external partners.
Key Responsibilities:
- Build, refine and activate customer audiences and segments for Retail Media campaigns
- Deliver detailed analysis on campaign performance, including ROI, incrementality and uplift
- Produce post-campaign evaluations (PIRs) with clear recommendations for optimisation
- Support the development of audience strategy and measurement frameworks
- Translate data into clear, actionable insights to influence campaign and commercial decisions
- Work cross-functionally to demonstrate the value of first-party data and Retail Media propositions
Digital Analyst, Hybrid, SQL, Retail Media in London employer: Sanderson
Join a dynamic and innovative team in London as a Digital Analyst, where you'll have the opportunity to work at the forefront of Retail Media and CRM. Our hybrid work culture promotes flexibility and collaboration, ensuring you can thrive both in and out of the office. With a strong focus on employee growth, we offer continuous learning opportunities and a supportive environment that values your contributions, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Analyst, Hybrid, SQL, Retail Media 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 Sanderson 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.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Sanderson.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Sanderson.
We think you need these skills to ace Digital Analyst, Hybrid, SQL, Retail Media in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Sanderson, 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 Sanderson, 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 Sanderson’s attention and show the tangible impact of your work.
How to prepare for a job interview at Sanderson
✨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 Sanderson.
✨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 Sanderson.
✨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 Sanderson.
