Retail Intelligence Manager, EMEA

About Us 

SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. 

 

As part of SharkNinja’s continued growth across EMEA, we are strengthening our Retail Excellence capability with advanced performance, footprint and strategic intelligence. 

The Retail Intelligence Manager – Retail Excellence – EMEA supports performance visibility, estate intelligence, CAPEX analysis and strategic optimisation across all Retail Excellence activity. This spans display launches, refresh programmes, estate maintenance and live in-store execution across EMEA. 

Working across Retail Excellence, including both in-store experience and field execution, this role translates performance data into clear, structured insight to support commercial decision-making. You will inform decisions on where we invest, how we deploy and which stores we prioritise through robust data and analysis. 

You will deliver analytical workstreams and support defined strategic initiatives, including a structured Hero Stores programme and the development of an integrated analytical framework for Displays and Field Excellence in partnership with our field marketing agency. 

 

You do not own programme delivery or creative standards. You are responsible for generating the insight and analysis that supports improved effectiveness and return. 

 

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 underperforming 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 underperforming investment early. 
• Provide structured reporting to leadership on CAPEX effectiveness. 

This role supports evidence-based investment decisions through robust analysis and tracking. 

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 underperforming investments. 
• Display and Field budgets supported by structured, evidence-based insight. 
• Measurable improvement in retail impact driven by intelligence.