Established in 1981 with a single store in the Northwest of England, the JD Group is a leading omni-channel retailer of Sports Fashion, Outdoors and Gyms with our colleagues working in stores across several retail fascias in many markets around the world.
JD Sports Fashion Plc was listed on the London Stock Exchange in 1996 and has been a FTSE100 publicly quoted company since 2019 and continues to grow in the UK and internationally.
We want to be the leading global omnichannel retailer in the sports and outdoor industry. To be a part of this successful company and help us to achieve this you will have the desire to ingrain our strategic goals of being a people-led, innovative and customer-focused organisation which provides operational excellence whilst identifying new areas of growth as part of our day to day objectives.
Measurement & Modelling Analyst – Marketing Effectiveness
Overview: 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 teams’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.
We know our colleagues work tirelessly to make JD Sports the success it is today and in turn, we offer them some amazing benefits including staff Discount On JD Group and other brands within the organisation and personal development opportunities to learn and develop at work.
Thank you for your time
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