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PNE Enterprise Analytics Sr. Lead

Job Posted 13 Days Ago Posted 13 Days Ago
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2 Locations
Expert/Leader
2 Locations
Expert/Leader
Lead the Enterprise Analytics product line, centralizing data efforts, translating business needs into actionable analytics, and developing governance frameworks, while driving adoption and measuring impact.
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Job Description:

 In a world where data is a competitive advantage, the PNE Enterprise Analytics Lead ensures we turn insights into action, accelerating decision-making and driving business impact. Aligned with the Pet Nutrition 5+5 strategy, this role strengthens our agenda by equipping Pet Nutrition Europe teams with the analytics tools and expertise needed to optimize performance, fuel growth, and enhance agility in a rapidly evolving market.  

What are we looking for?

  • Preferred education Is a university degree In business or IT
  • 10+ years of experience in Data & Analytics, Business Intelligence, or a related field, preferably in a multinational or consumer goods environment
  • Proven track record of leading analytics teams and driving business impact through data-driven decision-making
  • Strong experience in business partnering, translating complex data into actionable insights for senior leadership and operational teams
  • Experience in centralizing and scaling analytics capabilities across multiple business units or regions
  • Knowledge of advanced analytics, data science, and AI/ML applications in a business context is a plus

What will be your key responsibilities?

  • Lead the Enterprise Analytics product line by defining and executing a clear strategy for OE-specific analytics, ensuring alignment with business priorities and enterprise standards.
  • Centralize all PNE Data & Analytics efforts under a single governance model, consolidating fragmented analytics initiatives to drive efficiency, consistency, and business impact.
  • Act as the strategic business partner to PNE leadership and OE teams, translating business needs into actionable analytics solutions that enhance decision-making, optimize performance, and support business transformation.
  • Collaborate closely with the AOE D&A team to ensure PNE leverages global frameworks to delivery scalable solutions for the OE and meet regional operational needs.
  • Prioritize and drive adoption of analytics solutions, ensuring OE teams have the right tools, skills, and insights to maximize value from data.
  • Develop a structured data governance framework, ensuring data accuracy, reliability, and compliance with enterprise standards while enabling seamless data integration across functions.
  • Lead the continuous evolution of analytics capabilities, identifying emerging trends, tools, and technologies that can drive competitive advantage for PNE.
  • Drive change management and upskilling efforts, ensuring OE teams are fully enabled to leverage analytics in their day-to-day decision-making.
  • Measure and communicate the impact of analytics initiatives, ensuring alignment with business objectives and continuous improvement of analytics products.

What can you expect from Mars?

  • Work with diverse and talented Associates, all guided by the Five Principles.
  • Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
  • Best-in-class learning and development support from day one, including access to our in-house Mars University.
  • An industry competitive salary and benefits package, including company bonus.

#TBDDT

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

Top Skills

AI
Business Intelligence
Data Analytics
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