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- Tasks: Support advanced marketing measurement and data analysis for effective investment decisions.
- Company: Join JD Sports, the 'King of Trainers' in the sportswear retail industry.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative culture with excellent career advancement opportunities.
- Why this job: Make a real impact on marketing effectiveness with cutting-edge analytics.
- Qualifications: 2-4 years in marketing analytics and strong analytical skills required.
The predicted salary is between 35000 - 45000 £ per year.
JD Sports Group PLC is a leading international multi-channel retailer of sports, fashion, and outdoor brands. With an extensive portfolio of globally recognised brands, JD Sports has established itself as the 'King of Trainers' and a beacon for sportswear enthusiasts around the world. Our commitment to delivering exceptional customer experiences and innovative products drives our success in the competitive retail landscape.
The Measurement & Modelling Analyst will support the delivery of advanced marketing measurement across the UK and key European territories. Focused on MMM execution support, data preparation, diagnostics, platform studies, and reporting & visualisation, this role provides the analytical foundation that enables effective investment decisions. Working closely with the Marketing Effectiveness Manager, insight teams, and external modelling partners, they will help ensure our marketing measurement is accurate, actionable, and consistently applied.
Key Responsibilities:
- Automated MMM Onboarding & System Maintenance
- Support the onboarding and implementation of JD’s agile, automated MMM platform, ensuring full integration of all required data sources.
- Be the Marketing Effectiveness team’s guardian of system accuracy by monitoring data flows, validating that automated data ingestion is working as expected, and flagging issues to the vendor or Data Science internal teams.
- Manage configuration updates, channel mapping, taxonomy alignment, and changes to inputs or naming conventions across markets.
- Work with the Marketing Effectiveness Manager to ensure outputs are aligned to business needs and are refreshed on the agreed cadence.
- Document processes, workflows, and data definitions to maintain a stable and scalable automated modelling environment.
- MMM Execution & Diagnostics
- Support regular model refresh cycles by reviewing outputs, checking response curves, and validating performance insights.
- Conduct diagnostic analysis to understand model behaviour, performance changes, and channel drivers.
- Assist in preparing modelling interpretation packs for marketing, media, and finance stakeholders.
- Digital & Platform Study Support
- Assist in the coordination of partner (e.g. Google, Meta etc.) measurement programmes, including lift studies and incrementality analyses.
- Ensure alignment with ongoing incrementality programme.
- Prepare supporting datasets and help interpret platform results alongside MMM outputs.
- Consolidate platform insights as part of wider channel and investment recommendations.
- Reporting & Visualisation
- Support the KPI & Measurement Analyst to build and maintain dashboards and reporting tools that track marketing effectiveness KPIs across markets.
- Design data visualisations that make modelling outputs easier to understand for non-technical stakeholders.
- Cross-Functional Collaboration
- Work closely with Insight teams (Customer Analytics, Brand Tracking, Research) to align data inputs and ensure cohesive insight stories.
- Collaborate with media and digital teams to gather campaign data, platform extracts, and channel performance inputs.
- Participate in Marketing Effectiveness and Insight team meetings, sharing observations from data and measurement cycles.
The ideal candidate will have:
- 2–4 years’ experience in marketing analytics, digital analytics, measurement, or a similarly analytical role.
- Strong numeracy and analytical capability, with experience working with complex datasets.
- Good working knowledge of digital media channels and associated performance metrics.
- Experience using Excel and tools such as Power BI or Tableau for data manipulation and visualisation.
- Experience or interest in marketing mix modelling (exposure to automated MMM platforms a plus).
- Strong attention to detail and the ability to produce accurate, reliable analysis.
- A collaborative mindset, with confidence working with multiple teams and stakeholders.
- A proactive approach to problem solving and continuous improvement.
Measurement & Modelling Analyst - Marketing Effectiveness in Bury employer: JD Sports
Contact Detail:
JD Sports Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Measurement & Modelling Analyst - Marketing Effectiveness in Bury
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand JD Sports' values and how they align with your skills. This will help you tailor your responses and show that you're genuinely interested in being part of the team.
✨Tip Number 3
Practice your analytical skills! Since this role is all about measurement and modelling, brush up on your data interpretation and visualisation techniques. Use tools like Excel, Power BI, or Tableau to create sample dashboards that showcase your abilities.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining JD Sports and ready to dive into the exciting world of marketing effectiveness.
We think you need these skills to ace Measurement & Modelling Analyst - Marketing Effectiveness in Bury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Measurement & Modelling Analyst role. Highlight your experience in marketing analytics and any relevant tools you've used, like Excel or Power BI. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about marketing effectiveness and how your background makes you a great fit for our team. Keep it engaging and personal – we love a bit of personality!
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical capabilities. Mention specific projects where you've worked with complex datasets or conducted diagnostics. We’re keen to see how you approach problem-solving and data interpretation!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at JD Sports
✨Know Your Numbers
As a Measurement & Modelling Analyst, you'll be dealing with complex datasets. Brush up on your numerical skills and be ready to discuss how you've used data in previous roles. Prepare examples of how you've analysed marketing effectiveness or worked with digital media metrics.
✨Familiarise Yourself with MMM
Since this role involves marketing mix modelling, make sure you understand the basics of MMM and any automated platforms you've encountered. Be prepared to explain how you would approach model diagnostics and what steps you'd take to ensure accuracy in data flows.
✨Visualisation is Key
You'll need to create dashboards and visualisations that are easy for non-technical stakeholders to understand. Bring examples of your previous work with tools like Power BI or Tableau, and be ready to discuss your design choices and how they helped convey insights.
✨Collaboration is Crucial
This role requires working closely with various teams. Think about times when you've collaborated effectively with others, especially in cross-functional settings. Be ready to share how you’ve gathered campaign data or aligned insights with different stakeholders.