At a Glance
- Tasks: Analyse retail performance data to drive strategic decisions and optimise store investments.
- Company: Join a leading retail brand committed to excellence and innovation.
- Benefits: Enjoy competitive health insurance, retirement plans, and employee discounts.
- Other info: Be part of an inclusive culture that values your contributions and supports career growth.
- Why this job: Make a real impact on retail strategies across EMEA with data-driven insights.
- Qualifications: 5+ years in retail analytics and strong Excel skills required.
The predicted salary is between 60000 - 80000 € per year.
Supports performance visibility, estate intelligence, CAPEX analysis, and strategic optimisation across all Retail Excellence activity, including display launches, refresh programmes, estate maintenance and live in-store execution across EMEA. This role translates performance data into clear, structured insight to support commercial decision‑making on where we invest, how we deploy and which stores we prioritise through robust data and analysis.
What You’ll Do
- Retail Performance & Impact Intelligence
- Analyse EPOS and sell‑through performance across installed locations.
- Quantify the impact of Retail Excellence initiatives on revenue, margin and share.
- Identify high‑performing store clusters and execution formats.
- Highlight under‑performing stores and provide data‑led insights and recommendations.
- Footprint & Store Strategy Analysis
- Identify opportunities where stores we should be in but are not.
- Highlight opportunities where footprint could be expanded, reduced or exited.
- Support the development of structured store tiering frameworks based on commercial potential.
- Build and refine analytical models that segment stores into differentiated investment tiers.
- Analyse store segmentation, traffic, sales density and strategic value.
- Provide insight to support rollout prioritisation and investment decisions.
- Contribute to optimisation initiatives within Retail Excellence by providing analysis and recommendations.
- Unified Display & Field Analytical Framework (with field agency)
- Support the development and delivery of an integrated analytical framework across Displays and Field Excellence in partnership with the field agency.
- Contribute to defining the scope, methodology and modelling approach required to connect display investment, field coverage and commercial performance.
- Develop econometric and advanced performance models to understand the interaction between display format and size, store type and tier, field intensity and coverage, sales uplift and ROI, investment levels by market and cluster.
- Build analytical outputs and proposals to support decisions on the optimal combination and placement of display formats and field resources.
- Support testing and refinement of the framework through pilot analysis and phased implementation.
- Prepare insight and recommendations for review with senior stakeholders and support adoption across Retail Excellence.
- Retail Intelligence Tools, AI & Modelling
- Develop store‑level decision frameworks and scoring models.
- Build calculators that assess key store metrics and support recommendations for optimal display formats and field intensity automatically.
- Leverage AI tools such as ChatGPT, Copilot or equivalent platforms to accelerate analysis.
- Design structured prompts, scripts and workflows to generate fast, accurate and repeatable insight.
- Use AI‑driven scenario modelling to support rapid commercial pivots.
- Automate recurring analysis and reporting where appropriate.
- CAPEX Analysis & Delivery Support
- Provide analysis and reporting on the Retail Excellence CAPEX budget.
- Track spend against plan and link investment to performance outcomes.
- Monitor ROI by display format, market and store tier.
- Identify opportunities to inform reallocation of investment for improved return.
- Support ongoing delivery by flagging under‑performing investment early.
- Provide structured reporting to leadership on CAPEX effectiveness.
- Field Excellence Insight
- Analyse execution quality and compliance trends.
- Quantify the relationship between execution standards and commercial performance.
- Identify where field focus or intervention is required to protect return.
- Provide insight to inform field resource prioritisation based on store potential.
- Retail Readiness Performance Feedback
- Provide structured post‑launch performance analysis.
- Identify launch friction points and recurring execution challenges.
- Feed performance insight back into future planning cycles.
- Support improvement of readiness sequencing using historical data.
What You’ll Bring
- 5+ years’ experience in retail analytics, commercial strategy or investment analysis.
- Strong experience working with EPOS, store‑level performance and retail data modelling.
- Advanced Excel capability with experience building financial and performance models.
- Experience with Power BI, Tableau or similar tools advantageous.
- Strong financial literacy and ROI modelling capability.
- Experience analysing and reporting on CAPEX or investment budgets.
- Ability to influence senior stakeholders using evidence‑based recommendations.
- Fluent written and verbal English.
What Success Looks Like
- Clear, data‑backed footprint strategy across EMEA.
- Improved store selection and display format allocation.
- Strong ROI tracking and optimisation of CAPEX investment.
- Early identification of under‑performing investments.
- Display and Field budgets supported by structured, evidence‑based insight.
- Measurable improvement in retail impact driven by intelligence.
What We Offer
- Competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, and product discounts.
- High‑impact learning programs featuring diverse voices redefining what’s possible.
- A supportive, inclusive culture that values authentic contributions and fosters career acceleration.
We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation or local law. SharkNinja will consider reasonable accommodations consistent with legislation and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture.
Retail Intelligence Manager, EMEA in London employer: SharkNinja
At SharkNinja, we pride ourselves on being an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. Our Retail Intelligence Manager role in EMEA not only provides competitive health benefits and retirement plans but also encourages professional growth through high-impact learning programmes and a culture that values diverse perspectives. Join us to make meaningful contributions while enjoying a supportive atmosphere that prioritises employee well-being and career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Retail Intelligence Manager, EMEA in London
✨Tip Number 1
Network like a pro! Reach out to people in the retail analytics field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got experience with EPOS systems or data modelling, create a portfolio or case studies to demonstrate your expertise. This can really set you apart during interviews.
✨Tip Number 3
Prepare for those interviews! Research the company’s recent projects and think about how your skills can help them achieve their goals. Tailor your answers to show you’re the perfect fit for their Retail Excellence initiatives.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Retail Intelligence Manager, EMEA in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in retail analytics and performance modelling. We want to see how your skills align with the Retail Intelligence Manager role, so don’t hold back on showcasing relevant achievements!
Showcase Your Data Skills:Since this role is all about data, be sure to include specific examples of how you've used tools like Excel, Power BI, or Tableau in your previous roles. We love seeing candidates who can turn numbers into actionable insights!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate clarity just as much as you do!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at SharkNinja
✨Know Your Numbers
As a Retail Intelligence Manager, you'll be dealing with a lot of data. Brush up on your EPOS and performance metrics before the interview. Be ready to discuss how you've used data to drive decisions in previous roles.
✨Showcase Your Analytical Skills
Prepare examples of how you've built analytical models or frameworks in the past. Highlight any experience with tools like Power BI or Tableau, and be ready to explain how these have helped improve retail performance.
✨Understand CAPEX and ROI
Since this role involves CAPEX analysis, make sure you can talk about your experience with investment budgets. Be prepared to discuss how you've tracked ROI and made recommendations based on financial outcomes.
✨Engage with Stakeholders
This position requires influencing senior stakeholders. Think of instances where you've successfully communicated data-driven insights to non-technical audiences. Practice articulating your recommendations clearly and confidently.
