At a Glance
- Tasks: Design marketing measurement frameworks and translate data into compelling stories.
- Company: Join StoreBoost, a leader in dynamic advertising technology.
- Benefits: Enjoy a competitive salary, flexible working, and 25 days holiday.
- Other info: Collaborative environment with opportunities for innovation and growth.
- Why this job: Shape the future of advertising with cutting-edge analytics and storytelling.
- Qualifications: Strong analytical skills and experience with data visualisation tools required.
The predicted salary is between 36000 - 60000 £ per year.
StoreBoost Retail provides a unique platform that allows retailers and brands to advertise dynamically to nearby customers during times of low foot traffic, driving both footfall and sales. As one of the few Demand Side Platforms (DSPs) offering programmatic buying combined with dynamic content optimisation at a competitive cost, StoreBoost delivers award-winning creative technology. Our platform is designed to cater to all retailers, from small boutiques to globally recognised brands, helping them engage with customers at critical moments and generate measurable growth.
This is a full‑time hybrid role for a Marketing Data Analyst, based in Greater London with some remote work flexibility. The role sits at the intersection of analytics, storytelling, and commercial engagement. You'll collaborate directly with media planning teams, clients, and senior stakeholders to design measurement frameworks, interpret campaign performance, and communicate data‑driven narratives that influence marketing investment decisions.
A key aspect of the role involves working closely with our lead engineer to develop and evolve StoreBoost's data and analytics platform, ensuring it delivers robust campaign impact reporting and credible planning tools that predict expected returns in terms of store sales and footfall. This is an exceptional opportunity for someone who combines analytical rigor with strong communication skills and wants to shape the future of measurable out‑of‑home advertising. If you're passionate about turning data into stories that drive business outcomes, we'd love to hear from you.
You are a commercially‑minded analytics professional who excels at transforming data into compelling business insights. You're equally comfortable working with traditional media metrics and digital performance data, and you have a natural ability to communicate complex concepts in ways that resonate with diverse audiences. You thrive in client‑facing environments and are energised by the opportunity to influence strategic decisions through data‑driven storytelling. You also understand how to translate analytical requirements into product specifications and work effectively with technical teams.
Responsibilities:- Design and implement marketing measurement frameworks across traditional and digital channels, with particular emphasis on DOOH attribution and effectiveness.
- Develop and refine analytics methodologies including Marketing Mix Modelling (MMM), attribution analysis, and incrementality measurement.
- Lead analytical projects that quantify the impact of DOOH campaigns on business outcomes including online conversions, store visits, footfall, and brand metrics.
- Build predictive models and planning tools that forecast campaign performance in terms of store sales and foot traffic.
- Conduct rigorous data exploration, hypothesis testing, and validation to ensure reliable insights.
- Stay current with evolving measurement methodologies and apply best practices to StoreBoost's solutions.
- Work collaboratively with the lead engineer to shape the development of StoreBoost's data and analytics platform.
- Define analytical requirements and specifications for campaign impact reporting features.
- Design and validate planning tools that provide credible forecasts of campaign returns.
- Contribute to the evolution of automated reporting, dashboards, and client‑facing analytics products.
- Ensure platform outputs meet the highest standards of analytical rigour and business usability.
- Provide analytical guidance on data architecture and measurement infrastructure decisions.
- Translate complex analytical findings into clear, compelling narratives for diverse audiences.
- Create impactful visualisations, dashboards, and reports that enable data‑driven decision‑making.
- Present insights and recommendations to clients and senior stakeholders with confidence and clarity.
- Distill multi‑channel campaign performance into actionable strategic guidance.
- Frame analytical outputs in the context of broader business objectives and marketing strategy.
- Work directly with clients to understand their business challenges and measurement needs.
- Collaborate with media planning and buying teams to optimise campaign strategies based on data insights.
- Manage client expectations and build trusted advisor relationships through analytical excellence.
- Support new business opportunities by demonstrating StoreBoost's analytical capabilities and value proposition.
- Contribute to the commercial success of client relationships through insight‑led consulting.
- Partner with internal teams including media planning, product, and technology to enhance StoreBoost's analytics capabilities.
- Interface with data engineering resources to ensure data quality and availability.
- Leverage AI tools and platforms to enhance analytical efficiency and scale.
- Contribute to the continuous improvement of StoreBoost's measurement products and methodologies.
- Proficiency in Marketing Analytics and foundational knowledge of Marketing concepts.
- Strong Analytical Skills, including problem‑solving and critical thinking.
- Experience in Data Analysis and Data Analytics tools and methodologies.
- Proficiency with data visualisation tools and reporting platforms such as Excel, Tableau, Power BI.
- Excellent written and verbal communication skills for presenting insights to stakeholders.
- Ability to collaborate across teams and adapt to a hybrid work environment.
- Bachelor’s degree in Business Analytics, Marketing, Data Science, or a related field.
- Experience with SQL or other database querying languages is a plus.
This role offers a unique opportunity to be at the forefront of measurable DOOH advertising, working with cutting‑edge measurement technologies while developing your expertise in data storytelling and commercial consulting. You'll have direct influence on the development of our analytics platform and the analytical products we bring to market, working with prestigious partners like Westfield. You'll have the autonomy to shape analytical approaches while being supported by a collaborative team committed to innovation in marketing measurement.
Benefits:- Competitive salary depending on experience.
- Company pension.
- Flexible working.
- Studio building in Farringdon shared with other creative companies.
- 25 days holiday.
Marketing Data Analyst employer: StoreBoost Retail
StoreBoost Retail is an exceptional employer that champions innovation and collaboration in the dynamic field of marketing analytics. With a competitive salary, flexible working arrangements, and a vibrant studio environment in Farringdon, employees are empowered to grow their skills while directly influencing the future of out-of-home advertising. The company fosters a culture of creativity and support, ensuring that every team member has the opportunity to thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Marketing Data Analyst
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, or even hit up LinkedIn. The more people you know, the better your chances of landing that Marketing Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects and data storytelling. Use real-world examples to demonstrate how you've turned data into actionable insights. This will make you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to marketing analytics and data interpretation. Think about how you can communicate complex concepts simply and effectively. Remember, it's all about telling a compelling story with your data!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in StoreBoost. Tailor your application to highlight your passion for data-driven marketing and how you can contribute to our innovative team.
We think you need these skills to ace Marketing Data Analyst
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Marketing Data Analyst role. Highlight your analytical skills and experience with marketing measurement frameworks, as these are key to what we’re looking for at StoreBoost.
Showcase Your Storytelling Skills:We love data-driven narratives! When you write your application, include examples of how you've turned complex data into compelling stories that influenced decisions. This will show us you can communicate effectively with diverse audiences.
Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your qualifications and achievements. We appreciate clarity in communication!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at StoreBoost Retail
✨Know Your Data Inside Out
Make sure you’re well-versed in the key analytics methodologies mentioned in the job description, like Marketing Mix Modelling and attribution analysis. Brush up on how these can impact DOOH campaigns and be ready to discuss specific examples of how you've applied them in past roles.
✨Craft Your Storytelling Skills
Since this role involves translating complex data into compelling narratives, practice explaining your previous projects in a way that highlights the insights you derived and the business decisions they influenced. Use visuals or dashboards if possible to demonstrate your ability to communicate effectively.
✨Familiarise Yourself with StoreBoost
Research StoreBoost’s platform and its unique selling points. Understand their approach to dynamic content optimisation and how it benefits retailers. This will not only show your interest but also help you tailor your responses to align with their goals during the interview.
✨Prepare for Client-Facing Scenarios
Since the role requires collaboration with clients and stakeholders, think of examples where you’ve successfully managed client relationships or influenced strategic decisions through data insights. Be ready to discuss how you handle expectations and build trust with clients.
