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 like-minded 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.