
3–4 days/week at home
Core hours 11–3
Dog friendly
Job Description
Job Description:
One Demand Data & Analytics (ODDA) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical business-wide problems we face – unlocking quality growth and operational excellence. ODDA team is being built under Chief Growth officer organization and is led by Global VP Data Analytics & Insights.
Through ODDA, we deliver connected insights across the entire demand ecosystem leveraging machine learning, AI and new cutting-edge technologies, solving complex challenging problems. We empower our Associates with the right data, tools and capabilities so they can take decisive action, maximizing value and making a meaningful impact on our consumers, our customers and our business.
The Marketing Analytics vertical within ODDA seeks to equip Mars Marketing Associates with the capabilities needed to optimize and improve marketing campaigns across Media, Content, Search and CRM and shopper marketing consumer promotions optimization. Marketing vertical is one of key enablers for global Media 2025 program that drives best in biddable, enables integrated consumer journey and drives 100% addressable content. Example of use cases to work on is media mix modelling, cross-media measurement, search optimization, multi-touch attribution, audience building and enabling personalization via AI based content generation and scenario planning to optimize margin after conversion and gross sales value ROI for CP/Shopper Marketing spend by ensuring we have comprehensive ROI capabilities that make us better investors short term and long term, household penetration and many more.
Product strategy analyst role is within Global Marketing Analytics Director team and is global with regional focus depending on candidate location (North America, China, Global Emerging Markets and Europe) will engage with business users to define right problems, lead data scientists and data engineers (internal as well as external) to drive right product creation. Role is expected to evangelize a data-driven decision-making culture across Mars Wrigley by fostering a hypothesis-driven approach to problem-solving and create value by enabling consumption of advanced analytics. Being hungry for learning and passion about data
What are we looking for?
Bachelor’s degree in Management, Business Administration, Engineering, Mathematics, and related field. Advanced degree preferred
Overall, 2+ years of experience; Minimum 1 year of experience in analytics
Minimum 2 years of Analytics experience
Generate business insights applying design thinking and driving data driven decision making
Skilled at building and managing relationships, including stakeholder management
Experience or knowledge of Shopper marketing and direct consumer promotion, marketing analytics, performance marketing and related data sources, specifically experience with Google Analytics, Data Studio and Google Tag Manager, SAP, Salesforce, other DSP/DMPs, Shopify, Facebook & Google Ads Manager, Data clean rooms, Consumer data platforms, Audience intelligence platforms, Heatmapping software, Social listening etc. as well as internal and external consumer data sources including consumer panel data, first party (e.g. e-mails, MAIDs), second party (e.g. JBP (Meta, Amazon), Retailer Media) and 3rd party (e.g. Kantar, Dynata, Nielsen, IRI) is preferred, but not mandatory across all data sources mentioned
Minimum 1 year of experience in developing analytical models using multi variate regression and build machine learning algorithms using data science experience
What will be your key responsibilities?
Manage advanced analytics capabilities, focusing on Media, Content, Search and CRM and shopper marketing consumer promotions optimization
Deliver consumer data analytics and measurement to allow business to understand real-time performance and act at pace on marketing campaigns including digital
Lead complex analytical projects which lead to actionable direction within the marketplace, challenging status quo in the market
Work with key business stakeholders to understand their challenges and formulate business problems using and constantly building knowledge of shopper marketing, marketing operations, performance marketing including agency model
Ideate and build early perspectives on actionable insights to the problem and work with the decision science team to prove/ disprove the hypothesis, continuously iterating as new information and/or insights come to light
Shape and prioritize backlog, utilizing business expertise and understanding of customer needs, translate requirements into user stories & acceptance criteria
Translate the model outcomes into insights/ business terms via strong understanding of the various statistical techniques
Help the decision science team with business context and provide necessary feedback during the analysis phase to ensure the outcomes deliver insights that are needed by the business
Work with business stakeholders, DevOps and Data engineers to develop processes and tools to monitor and analyze model performance and data accuracy.
Leverage the Mars Digital Engine Framework to Find the problem using user centric approach (Design Thinking), Solve it using Advanced Analytics and Machine learning, Automate the solution to scale while delivering in an agile manner
Collaborating with functional experts and technology teams on an ongoing basis to ensure quality delivery for the global digital transformation program
Ensure knowledge and best practices sharing across segments and markets to ensure reusability and improving analytical maturity
What can you expect from Mars?
Work with over 130,000 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.
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.
Company benefits
The FlexScore® is the result of a rigorous 2-step verification of a company’s flexibility
First we assess the flexibility options Mars UK provides and then we anonymously survey a statistically significant proportion of their employees to make sure Mars UK is as flexible as they say they are. Our assessment is based on the six key elements of flexibility: location, hours, autonomy, benefits, role modelling and work-life balance.
We ask the hard questions so you don’t have to.
Working at Mars UK
Company employees
4000 In the UK
Gender diversity (male:female)
57:43
Office locations
London, Slough, Waltham, Castle Cary, Birstall, Plymouth
Hiring Countries
United Kingdom

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