At a Glance
- Tasks: Analyse retail media performance and deliver insights that drive marketing strategies.
- Company: Established consumer-focused organisation with a strong data-driven culture.
- Benefits: Competitive salary, performance bonus, wellbeing support, and retail discounts.
- Other info: Collaborative environment with excellent career development opportunities.
- Why this job: Shape the future of retail media and make a real impact on business growth.
- Qualifications: Strong retail experience, advanced SQL skills, and knowledge of marketing analytics.
The predicted salary is between 40500 - 49500 £ per year.
Southampton once a week | 50k + Bonus + Benefits
This is an exciting opportunity to join a growing analytics function where you will help shape the future of retail media performance measurement.
Working at the intersection of customer insight, marketing analytics, and commercial strategy, you will deliver impactful analysis that influences decision-making and supports continued business growth.
The Company
They are a well-established consumer-focused organisation with a strong customer base and a data-driven culture.
Analytics plays a central role in how they understand customer behaviour, optimise marketing activity, and drive commercial performance.
The business continues to invest in its retail media and customer analytics capabilities, creating excellent opportunities for professional development and career progression.
They offer a collaborative environment where insight is valued and analytical expertise can make a tangible impact.
The Role
You will
- Deliver analysis across retail media, CRM, and loyalty programmes to understand customer behaviour and campaign effectiveness.
- Build and evaluate customer audiences and segments to support marketing activation and targeting strategies.
- Measure campaign performance through incrementality testing, uplift analysis, ROI assessment, and commercial impact reporting.
- Produce post-campaign reviews that identify opportunities for optimisation and future improvements.
- Develop and monitor customer health metrics, including acquisition, engagement, retention, frequency, and customer value.
- Provide actionable insights that influence audience strategy, campaign design, and business priorities.
- Work closely with stakeholders across analytics, marketing, and commercial teams to demonstrate the value of customer data.
- Support the evolution of retail media capabilities through robust measurement frameworks and analytical best practice.
- Stay informed on industry developments and emerging trends within retail media, CRM, and personalisation.
- Your Skills & Experience
- Strong commercial experience within the retail sector.
- Advanced SQL skills with the ability to work with large and complex datasets.
- Experience using Python, R, or another analytical programming language.
- Experience analysing and evaluating marketing campaigns using customer and transactional data.
- Strong understanding of campaign measurement methodologies and marketing performance metrics.
- Knowledge of statistical techniques including hypothesis testing, confidence intervals, and significance testing.
- Experience working with cloud-based data platforms such as Databricks, Snowflake, or Big Query.
- Ability to communicate complex findings clearly to both technical and non-technical stakeholders.
- Comfortable working within a collaborative, matrix-based environment with changing priorities.
- What They Offer
- Performance-related bonus.
- Employee wellbeing support and assistance programmes.
- Retail and lifestyle discounts.
- Ongoing learning and career development within a growing analytics function.
- Exposure to high-impact projects within retail media, customer analytics, and marketing effectiveness.
- #J-18808-Ljbffr
Retail Media Analyst (Perm) in Southampton 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 Analyst (Perm) in Southampton
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Harnham!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Retail Media Analyst (Perm) at Harnham.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Harnham.
✨Apply Directly through Our Website
When you find a suitable opening like Retail Media Analyst (Perm) at Harnham, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Retail Media Analyst (Perm) in Southampton
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.
