At a Glance
- Tasks: Analyse customer data to optimise retail media and CRM activities.
- Company: Established retail organisation focused on customer insights and data-driven decisions.
- Benefits: Competitive salary, bonus potential, hybrid work, and career development opportunities.
- Other info: Collaborative environment with exposure to experienced professionals in the field.
- Why this job: Join a growing analytics team and make a real impact on marketing strategies.
- Qualifications: Strong SQL skills and experience in marketing analytics and customer insights.
The predicted salary is between 47250 - 57750 £ per year.
- Retail Media Data Analyst
- Southampton - 1x a week
This is an opportunity to join a growing analytics function at a business investing heavily in customer insight, retail media, and data-driven decision making.
You'll sit at the intersection of CRM, customer analytics, and marketing measurement, helping shape how campaigns are evaluated, audiences are built, and commercial performance is improved.
The Company
They are a well-established, customer-focused retail organisation with a significant omnichannel presence.
Data plays a central role in how they understand customer behaviour, optimise marketing activity, and drive commercial performance.
Their analytics team partners closely with commercial, marketing, and customer teams to deliver actionable insight that influences strategic decisions across the business.
The Role
As a Retail Media Data Analyst, you will support the measurement, optimisation, and growth of retail media and CRM activity through advanced analytics and customer insight.
Responsibilities include
- Deliver analysis across retail media, CRM, and loyalty programmes, focusing on customer behaviour, audience performance, and commercial outcomes.
- Measure campaign effectiveness using incrementality, uplift, ROI, and contribution to sales, margin, and customer engagement.
- Design, build, and evaluate customer audiences and segments to support marketing activation and targeting strategies.
- Produce post-campaign analysis and performance reviews, turning findings into clear recommendations.
- Develop and monitor customer health metrics including acquisition, engagement, retention, frequency, churn, and customer value.
- Partner with stakeholders across analytics, marketing, and commercial functions to influence decision-making.
- Use data to identify opportunities for optimisation and continuous improvement across customer and marketing initiatives.
- Contribute to scalable analytical solutions and best practices within a collaborative analytics environment.
- Stay informed on developments within retail media, CRM, personalisation, and marketing measurement.
- Your Skills & Experience
- Strong SQL skills with the ability to interrogate and analyse large customer datasets.
- Experience working with customer, CRM, or loyalty data in a commercial environment.
- Proven capability in marketing analytics, campaign measurement, and customer insight generation.
- Experience designing, evaluating, and optimising marketing campaigns across multiple channels.
- Strong understanding of statistical concepts including hypothesis testing, confidence intervals, and significance testing.
- Experience using cloud-based analytics environments such as Databricks, Snowflake, or Big Query.
- Strong data visualisation and storytelling skills, with the ability to communicate insights to both technical and non-technical audiences.
- Experience working with high-volume customer data, ideally within retail or another consumer-focused industry.
- Ability to influence stakeholders through clear, actionable recommendations rather than reporting alone.
- What They Offer
- Exposure to a growing retail media capability and evolving analytics function.
- Opportunity to work alongside experienced analytics professionals and develop expertise across customer analytics, CRM, retail media, and marketing measurement.
- Hybrid working environment with strong stakeholder exposure and career development opportunities.
How to Apply
If you're a data-driven analyst with experience across customer analytics, CRM, and marketing measurement, apply today to discuss this Retail Media Data Analyst opportunity in more detail.
Locations
Retail Media Data Analyst in Hampshire, Portsmouth employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Retail Media Data Analyst in Hampshire, Portsmouth
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We think you need these skills to ace Retail Media Data Analyst in Hampshire, Portsmouth
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 Harnham, 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 Harnham. 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 Harnham
✨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 Harnham!
✨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.
