[Hiring] Director of Sales Analytics @Hagen Group/ Groupe Hagen

Role Description

The Director of Sales Analytics is a critical leadership role responsible for transforming data into actionable insights that drive revenue growth across our multi-category portfolio. This individual will lead the development of analytics capabilities, leverage syndicated data (including Nielsen), and partner cross-functionally with Sales, Marketing, and Finance to identify opportunities, optimize performance, and support strategic decision-making. This role requires a hands-on leader (“player-coach”) who can both build and execute while developing a high-performing analytics function.

Key Responsibilities

• Strategic Analytics & Insights
  • Translate complex data sets (Nielsen, POS, syndicated, internal) into clear, compelling business insights and actionable recommendations.
  • Identify opportunities for growth across customers, categories, and channels (pricing, assortment, promotion, distribution).
  • Lead the development of data-driven selling stories for key retail partners.
  • Provide forward-looking insights to support strategic initiatives and long-term growth plans.
• Business Performance & Reporting
  • Own and lead all sales reporting and analytics, including weekly, monthly, and quarterly business reviews.
  • Develop standardized dashboards and KPIs to track performance across customers and channels.
  • Analyze performance vs. plan, prior year, and market trends to identify risks and opportunities.
  • Present insights and recommendations to senior leadership, including the SVP of Sales.
• Planning & Forecasting
  • Partner with Sales and Finance to support forecasting, demand planning, and annual operating plans.
  • Develop analytical frameworks to improve forecast accuracy and scenario planning.
  • Support pricing strategy, trade investment analysis, and ROI measurement.
• Retail & Customer Analytics
  • Leverage Nielsen and other syndicated data to analyze category trends, market share, and competitive dynamics.
  • Identify whitespace opportunities at retail (distribution gaps, assortment optimization, shelf strategy).
  • Support Joint Business Planning (JBP) with data-backed recommendations.
• Cross-Functional Leadership
  • Serve as a key partner to Sales, Marketing, and Finance to align on strategy and execution.
  • Collaborate with Marketing on category insights, innovation sizing, and go-to-market strategy.
  • Partner with Finance on financial modeling, trade efficiency, and revenue optimization.
• Team Leadership & Capability Building
  • Build, lead, and develop a high-performing Sales Analytics team.
  • Establish best practices, tools, and processes for data management and reporting.
  • Drive a data-driven culture across the organization.
  • Act as both a strategic leader and hands-on contributor.

Qualifications

• 10+ years of experience in Sales Analytics, Category Management, Revenue Growth Management, or related roles within CPG.
• Deep experience with Nielsen (required) and other syndicated data sources (IRI/Circana preferred).
• Proven track record of influencing sales strategy and driving measurable business results.
• Experience supporting major retail accounts (e.g., mass, grocery, pet specialty, eCommerce).
• Prior experience in the pet category preferred.

Requirements

• Strong analytical and problem-solving skills with the ability to synthesize large data sets into clear insights.
• Exceptional storytelling skills—ability to translate data into compelling narratives for internal and external stakeholders.
• Advanced proficiency in Excel and data tools (e.g., Power BI, Tableau, or similar).
• Strong financial acumen and understanding of forecasting and trade spend.
• Ability to operate both strategically and tactically (“roll up sleeves” mindset).
• Demonstrated ability to lead and develop teams.
• Strong cross-functional collaboration skills.
• Executive presence with the ability to influence senior leadership.
• High ownership mentality with a bias for action.

Key Success Metrics

• Revenue and share growth driven by analytics-led initiatives.
• Forecast accuracy and planning effectiveness.
• Quality and impact of insights delivered to Sales and leadership.
• Effectiveness of business reviews and decision-making support.
• Development of scalable analytics tools and processes.