SS&A Analyst - Shark Beauty

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 we continue to grow, we are excited to add a Strategic Sales & Analytics (SSNA) Shark Analyst to join our French team. The position is based in our central Paris office. 

Overview: 

As we continue to expand, we are seeking a Strategic Sales & Analytics (SSNA) Analyst to join our French SHARK team. This position is based in our central Paris office and is a key contributor within the Strategic Sales and Analytics organization. 

Reporting to the SSNA SHARK Director, the SSNA Analyst will support the business through data-driven insights, performance tracking, pricing and promotional analysis, and market intelligence across key French retail accounts. 

This role is ideal for a highly analytical, detail-oriented individual who enjoys working with data, supporting strategic decisions, and operating in a fast-paced, performance-driven environment. Here are some of the EXCITING things you’ll get to do

What You'll Do: 

Market & Category Strategy: 

• Support the monitoring of market trends, competitive dynamics, pricing strategies, and promotional activity within the SHARK categories. 

• Analyze categories and brand performance to help identify share gains, risks, and growth opportunities. 

• Provide regular POS data analysis to support tactical and strategic decision-making. 

• Assist in the development of category insights that support distribution growth, shelf space optimization, and in-store execution. 

Business Performance & Reporting: 

• Conduct trend analyses and track business performance versus forecast and prior year. 

• Build, maintain, and enhance dashboards and recurring reports to improve visibility into commercial and financial KPIs. 

• Support cross-functional alignment by delivering clear, concise performance summaries to sales, marketing, and operations teams. 

• Prepare analytical materials and insights for management reviews and business updates. 

Strategic Sales Analytics & Reporting: 

• Produce daily, weekly, and monthly performance reports covering sales, distribution, pricing, and promotions. 

• Identify category gaps, promotional risks, and competitive threats through structured data analysis. 

• Support pre- and post-promotion analysis, quantifying promotional lift, ROI, and execution effectiveness. 

• Assist in managing and updating the French Master Event Calendar, ensuring analytical readiness for key retail initiatives. 

• Track and analyze key metrics such as pricing elasticity, promotional efficiency, sell-out trends, and distribution changes. 

Cross-Functional Collaboration: 

• Work closely with sales, marketing, finance, supply chain, and demand planning teams to support commercial initiatives. 

• Provide analytical support to ensure decisions are fact-based and aligned with category objectives. 

• Contribute to ad-hoc analyses in response to business questions or performance fluctuations. 

What You'll Bring: 

• Fluent in French and English
• Bachelor’s degree in Business, Finance, Economics, Data Analytics, or a related field. 

• 3–5 years of experience in sales analytics, business analysis, category management, or commercial finance. 

• Strong analytical and problem-solving skills, with the ability to translate data into actionable insights. 

• Advanced proficiency in Microsoft Excel; solid PowerPoint skills required (BI tools experience is a plus). 

• Comfortable working with large datasets and POS data. 

• Strong attention to detail and ability to manage multiple priorities in a fast-paced environment. 

• Clear and structured communication skills, with the ability to explain data to non-technical stakeholders. 

• Proactive mindset with a strong desire to understand business drivers and improve performance.