At a Glance
- Tasks: Lead a team to drive commercial impact through high-quality analytics and decision-making.
- Company: Join a dynamic retail company focused on innovation and analytics.
- Benefits: Enjoy a 20% staff discount, wellbeing support, and career development opportunities.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make a real difference by translating complex data into actionable insights.
- Qualifications: Strong analytical skills, Power BI expertise, and experience in retail analytics.
The predicted salary is between 60000 - 75000 £ per year.
This is a key leadership role within our data function, responsible for driving commercial impact through high-quality analytics, strong governance, and the development of a high-performing embedded analytics team. You will act as a bridge between data and decision-making, ensuring insight is consistent, scalable, and directly supports business priorities.
Responsibilities
- Lead a team of high-performing embedded analysts to drive commercial value and operational excellence
- Act as the bridge between complex data and executive decision-making, translating insight into action
- Build and implement a scalable "commercial playbook" to standardise reporting and reduce duplication
- Define best practice across retail and commercial analytics (KPIs, templates, visualisation) to ensure one version of the truth
- Manage and develop a cross-functional analytics team, aligning them to central strategy while delivering tailored insight to business areas
- Champion automation and self-service tools to reduce manual reporting and increase value-add analytical work
- Support the evolution of advanced analytics capability, including predictive modelling
- Take a product-led approach to BI and data, influencing the development of data warehouse and reporting architecture
- Partner closely with Data Engineering and IT to prioritise retail and commercial requirements in the data roadmap
- Ensure all reporting and analytical outputs are robust, governed and compliant with data standards
- Build strong relationships with key stakeholders across Commercial Finance, Retail Leadership and the wider analytics community
- Drive measurable impact through insight (ROI), efficiency gains, stakeholder satisfaction and team development
You're a commercially-minded analytics leader who is as comfortable in the detail as you are thinking strategically. You enjoy translating complex data into clear, actionable insight and have a natural curiosity to understand what's really driving performance. You're confident working cross-functionally, influencing stakeholders and developing others, while keeping your team focused on delivering high-impact outcomes.
Qualifications
- Strong analytical mindset with a genuine interest in understanding the "why" behind the numbers
- Advanced Power BI expertise (including DAX and Power Query), with the ability to create clear, compelling dashboards
- Strong SQL skills, with experience handling complex data extraction and manipulation
- Experience with Python or R for advanced analytics (desirable)
- Solid understanding of retail and commercial drivers (e.g. LFL performance, margin, stock efficiency, P&L)
- Good knowledge of modern data architecture and analytics tooling
- Experience working in or leading an embedded analytics model, partnering cross-functionally with stakeholders
- Strong prioritisation skills, balancing local business needs with central strategic goals
- Strategic thinker who understands the wider business impact of data and reporting decisions
- Confident communicator, able to translate technical insight into clear, actionable recommendations
- Comfortable influencing and challenging stakeholders at all levels
- Proven experience developing and mentoring analysts, raising both technical and commercial capability
- Experience working with third-party data vendors and SaaS tools (beneficial)
Benefits
- 20% staff discount, which increases with length of service
- Thrive Recognition Scheme
- Wellbeing support provided by the Retail Trust
- Life Assurance
- Retail Rewards platform offering discounts for other retailers
- Pension Scheme
- Access to a wide range of career development
- Additional benefits may apply depending on your role and area of the business
Retail Analytics Manager employer: Job Search Place Limited
As a Retail Analytics Manager at our company, you will thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive salaries alongside a generous 20% staff discount, comprehensive wellbeing support, and a robust career development programme to help you grow your skills and advance your career. Join us in a role where your insights will directly influence business decisions and drive commercial success, all while being part of a supportive team dedicated to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Retail Analytics Manager
✨Tip Number 1
Network like a pro! Get out there and connect with people in the retail analytics space. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best analytical work, especially any dashboards or reports you've built using Power BI or SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your storytelling skills. Be ready to explain how your insights have driven commercial value in past roles. Use specific examples that highlight your ability to translate complex data into actionable recommendations.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves. Let’s get you on board!
We think you need these skills to ace Retail Analytics Manager
Some tips for your application 🫡
Show Your Analytical Skills:Make sure to highlight your analytical mindset in your application. We want to see how you understand the 'why' behind the numbers, so share examples of how you've translated complex data into actionable insights.
Tailor Your Experience:When applying, tailor your experience to match the job description. We’re looking for someone with strong Power BI and SQL skills, so don’t forget to mention specific projects where you’ve used these tools effectively.
Communicate Clearly:Your ability to communicate technical insights clearly is key. Use your application to demonstrate how you've influenced stakeholders in the past and how you can bridge the gap between data and decision-making.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Job Search Place Limited
✨Know Your Analytics Inside Out
Make sure you brush up on your analytical skills, especially in Power BI and SQL. Be ready to discuss how you've used these tools to drive commercial impact in previous roles. Prepare examples that showcase your ability to translate complex data into actionable insights.
✨Understand the Business Landscape
Familiarise yourself with the retail and commercial drivers mentioned in the job description. Think about how these factors influence decision-making and be prepared to discuss how your insights can align with business priorities. This will show that you’re not just a data whiz but also a strategic thinker.
✨Showcase Your Leadership Skills
As this role involves leading a team, be ready to share your experiences in developing and mentoring analysts. Highlight specific instances where you’ve championed automation or improved processes, demonstrating your ability to drive operational excellence and team performance.
✨Build Relationships with Stakeholders
Think about how you can effectively communicate technical insights to non-technical stakeholders. Prepare to discuss your approach to influencing decisions and building strong relationships across functions. This will illustrate your capability to act as a bridge between data and decision-making.
