At a Glance
- Tasks: Analyse digital performance and deliver actionable insights to drive growth.
- Company: Join JD Group, a leading global omni-channel retailer in sports fashion.
- Benefits: Enjoy staff discounts, gym memberships, and personal development opportunities.
- Other info: Be part of a diverse team committed to continuous growth and operational excellence.
- Why this job: Make a real impact in a dynamic environment focused on innovation and excellence.
- Qualifications: Experience in digital analytics and strong SQL skills required.
The predicted salary is between 45000 - 55000 £ per year.
Department: JD Digital
Location: Bury, Manchester
Reporting To: Head of Digital Analytics
About JD Group
Founded in 1981 with a single store in the Northwest of England, JD Group has grown into a leading global omni-channel retailer in Sports Fashion, Outdoors, and Gyms. Our diverse and dedicated teams operate across a portfolio of renowned retail brands in multiple international markets. Listed on the London Stock Exchange since 1996 and a proud member of the FTSE100 since 2019, JD Group continues to expand both in the UK and globally driven by a commitment to innovation, excellence, and possibility. Our vision is to become the world’s most trusted and dynamic omni-channel retailer in the sports and outdoor industry. We welcome individuals from all backgrounds to join us in shaping this future. If you’re passionate about contributing to an inclusive, people‑first, and customer‑centric organisation and are motivated by continuous growth and operational excellence we’d love to hear from you.
Role Purpose
We are looking for a Senior Digital Analyst to support data‑driven decision‑making across our digital business here at the JD Group. This role will focus on delivering actionable insights, improving trading decisions, marketing performance, and supporting optimisation of the end‑to‑end customer journey. You will work closely with marketing, trading, and product teams to analyse performance, identify opportunities, and enable continuous improvement through robust measurement and experimentation.
Key Responsibilities
- Analytics & Insight
- Deliver regular and ad hoc analysis on digital trading and marketing performance
- Identify trends, risks, and opportunities across acquisition channels and onsite behaviour
- Analyse customer journeys, funnels, and conversion performance to support growth initiatives
- Translate data into clear recommendations for non‑technical stakeholders
- Performance Marketing Support
- Analyse performance across channels (Paid Search, Paid Social, Display, Affiliates, SEO)
- Support optimisation of key metrics such as CAC, ROAS, and conversion rate
- Assist in evaluating marketing effectiveness, including attribution and incrementality approaches
- Testing & Optimisation
- Support a testing roadmap and execution across digital platforms
- Analyse test results and provide clear recommendations on scaling or iteration
- Promote a test‑and‑learn mindset across marketing and trading teams
- Data & Tools
- Ensure tracking accuracy and data quality in collaboration with engineering teams
- Use analytics platforms (GA4) to monitor and diagnose performance
- Stakeholder Collaboration
- Partner with marketing, trading, and product teams to understand business needs
- Present insights in a clear, concise, and commercially relevant way
- Support senior analysts/managers in delivering larger strategic projects
Skills & Experience Required
- Essential
- Strong experience in fast paced digital analytics, ideally within eCommerce
- Hands‑on experience with web analytics tools (e.g. GA4)
- Experience analysing paid media performance and digital channels
- Solid SQL skills (or equivalent data querying capability)
- Strong analytical and problem‑solving skills with attention to detail
- Ability to translate data into actionable insights
- Good stakeholder communication skills
- Desirable
- Knowledge of attribution models and incrementality testing
- Experience working with large datasets or cloud platforms (e.g. BigQuery, Snowflake)
Key Competencies
- Strong analytical mindset
- Commercial awareness
- Curiosity and proactive problem‑solving
- Clear communication and data storytelling
- Ability to work in a fast‑paced, cross‑functional environment
What Success Looks Like (First 6–12 Months)
- Reliable and insightful outputs in place for trade and marketing channels
- Clear contributions to improving marketing performance (e.g. ROAS, conversion)
- Strong relationships with stakeholders
- Consistent delivery of high‑quality analysis and actionable recommendations
What We Offer
We are proud to be an equal opportunity employer, committed to creating a workplace where every colleague is valued, respected, and empowered. We celebrate the diversity of our teams and strive to ensure that all colleagues regardless of background, identity, or lived experience can thrive and contribute meaningfully. As a part of our successful and continually evolving company, you’ll be encouraged to embrace and uphold our strategic priorities: putting people first, at the forefront of digital innovation, staying deeply attuned to our customers, and pursuing operational excellence. We are always exploring new avenues for growth, and we welcome individuals who are passionate about making a positive impact every day. We know our employees work tirelessly to make JD Sports the success it is today and in turn, we offer them some amazing benefits:
- Incremental Holiday Allowance
- Staff Discount on qualifying purchases across Group retail stores and online
- Exclusive Colleague Bike Discount scheme
- Discounted Gym membership
- Personal development opportunities to learn and develop at work
- Access to Apprenticeships and accredited qualifications
Senior Digital Analyst employer: Naylor's Equestrian Llp
JD Group is an exceptional employer, offering a vibrant work culture that prioritises inclusivity and employee growth. Located in Bury, Manchester, the company provides numerous benefits such as incremental holiday allowances, staff discounts, and opportunities for personal development, ensuring that every team member feels valued and empowered to contribute to our mission of becoming the world's most trusted omni-channel retailer.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Digital Analyst
✨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 Naylor's Equestrian Llp!
✨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 Senior Digital Analyst at Naylor's Equestrian Llp.
✨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 Naylor's Equestrian Llp.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Digital Analyst at Naylor's Equestrian Llp, 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 Senior Digital Analyst
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 Naylor's Equestrian Llp, 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 Naylor's Equestrian Llp. 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 Naylor's Equestrian Llp
✨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 Naylor's Equestrian Llp!
✨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.
