At a Glance
- Tasks: Analyse retail media campaigns and deliver actionable insights to drive performance.
- Company: Leading organisation with a focus on innovative analytics.
- Benefits: Hybrid/remote work, competitive pay, and a chance to shape marketing strategies.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact on retail media effectiveness.
- Qualifications: Experience in retail media analytics, strong SQL skills, and knowledge of data analysis tools.
The predicted salary is between 40500 - 49500 £ per year.
- Hybrid/Remote (London)- (2-3 times a month on site)
- 3 month contract
- We're supporting a leading organisation in their search for a
Retail Media Analyst to join a growing analytics function.
This role will play a key part in helping the business understand, measure and optimise the performance of its retail media and marketing activity across multiple customer touchpoints.
This is an ideal opportunity for someone with strong retail media analytics experience who enjoys turning complex data into actionable commercial insights.
Rather than producing standard reports, you'll work closely with stakeholders across the business to understand campaign effectiveness, advise on measurement approaches, and help shape future media investment decisions.
Key Responsibilities
- Measure and analyse the effectiveness of retail media and marketing campaigns across multiple channels.
- Deliver meaningful insights and recommendations to commercial, marketing and digital teams.
- Help define and improve campaign measurement frameworks and performance KPIs.
- Consult with stakeholders on channel performance, campaign activity and optimisation opportunities.
- Analyse customer and digital performance data to identify trends and drive commercial outcomes.
- Present analytical findings in a clear and actionable way to both technical and non-technical audiences.
Experience Required
- Proven experience in a
Retail Media Analytics role.
- Strong SQL skills and experience working with large datasets.
- Hands-on experience with
Databricks .
- Experience measuring campaign and channel performance rather than purely reporting on results.
- Experience using
Python and/or R for analysis.
- Knowledge of
Google Analytics, Big Query , and digital performance metrics.
- Understanding of customer analytics and campaign effectiveness measurement.
- Strong stakeholder management skills with the ability to influence commercial decision-making.
- The Ideal Candidate
You'll be a commercially minded analyst with a passion for retail media, campaign measurement and customer analytics.
You'll be comfortable partnering with stakeholders, challenging assumptions, and providing data-led recommendations that drive better business outcomes.
If you have a strong background in retail media analytics , advanced SQL skills, and experience working in Databricks, we'd be keen to hear from you.
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Retail Media Analyst employer: Sanderson
At Sanderson, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Belfast. Our commitment to employee growth is evident through tailored development programmes and opportunities for advancement, ensuring that our team members thrive in their careers while enjoying competitive rewards and a strong focus on health and safety compliance. Join us to take ownership of impactful projects and be part of a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Retail Media Analyst
✨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!
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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 Retail Media Analyst
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.
