National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

PNE Enterprise Analytics Sr Lead

Mars IS UK
Slough
2 months ago
Applications closed

Job Description:

In a world where data is a competitive advantage the PNE Enterprise Analytics Lead ensures we turn insights into action accelerating decisionmaking and driving business impact. Aligned with thePet Nutrition 55 strategythis 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 experiencein Data & Analytics Business Intelligence or a related field preferably in a multinational or consumer goods environment
  • Proven track record of leading analytics teamsand driving business impact through datadriven decisionmaking
  • Strong experience inbusiness partneringtranslating complex data into actionable insights for senior leadership and operational teams
  • Experience incentralizing and scaling analytics capabilitiesacross multiple business units or regions
  • Knowledge ofadvanced analytics data science and AI/ML applicationsin a business context is a plus
What will be your key responsibilities
  • Lead the Enterprise Analytics product lineby defining and executing a clear strategy for OEspecific analytics ensuring alignment with business priorities and enterprise standards.
  • Centralize all PNE Data & Analytics effortsunder 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 teamstranslating business needs into actionable analytics solutions that enhance decisionmaking optimize performance and support business transformation.
  • Collaborate closely with the AOE D&A teamto ensure PNE leverages global frameworks to delivery scalable solutions for the OE and meet regional operational needs.
  • Prioritize and drive adoption of analytics solutionsensuring OE teams have the right tools skills and insights to maximize value from data.
  • Develop a structured data governance frameworkensuring data accuracy reliability and compliance with enterprise standards while enabling seamless data integration across functions.
  • Lead the continuous evolution of analytics capabilitiesidentifying emerging trends tools and technologies that can drive competitive advantage for PNE.
  • Drive change management and upskilling effortsensuring OE teams are fully enabled to leverage analytics in their daytoday decisionmaking.
  • Measure and communicate the impact of analytics initiativesensuring 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 were striving to build the world we want tomorrow today.
  • Bestinclass learning and development support from day one including access to our inhouse 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.


Required Experience:

Senior IC


Key Skills
Adobe Analytics,Data Analytics,SQL,Attribution Modeling,Power BI,R,Regression Analysis,Data Visualization,Tableau,Data Mining,SAS,Analytics
Employment Type :Full-Time
Experience:years
Vacancy:1

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.