Digital Commerce Product Strategy Analyst Europe

Job Description

Job Description:

This role is transformation-funded and therefore has an expected end date of December 31st, 2026

Mars Snacking aims to accelerate its data and advanced analytics journey across the demand spectrum. The Global One Demand Data & Analytics (ODDA) team is supported as a transformation program to help Mars Snacking leveraging machine learning and AI through advanced Data & Analytics.

You will be joining the team to shape the transformation of advanced analytics for Mars Snacking within the digital commerce space, developing new cutting-edge capabilities to drive search, online availability, and growth of digital commerce business across multiple subchannels, including omnichannel retail (e.g. Tesco, Sainsbury, Carrefour, etc.), pureplay (e.g., Amazon), on-demand delivery (e.g. Deliveroo, Uber Eats, etc.).

The Digital Commerce Product Strategy Analyst role is a regional-focused role that will help the Europe Digital Commerce Product Strategy Team manage smaller data-related tasks critical for our projects and enable more strategic focus on the quality and communication of Digital Commerce analytic solutions. This role is crucial to our product execution and initial design, as it is a very hands-on delivery role that involves tasks such as data quality analysis and data validations, along with larger analysis support across tools to help with business questions and embedment.

The role will also be critical in embedding insights into the business by creating bespoke detailed-level insight decks leveraging our analytics tools built in the digital commerce space. The role will also work with vendors to ensure communication decks and data outputs provided are quality-checked and validated, have relevant business context, and align to stakeholder questions and use cases.

What are we looking for?

• Bachelor's degree in business, economics, statistics, computer science, or related field, or equivalent work experience.
• Prior experience in data analysis, business analysis, or related roles, preferably in a data-driven organization or industry. FMCG/CPG or Digital Commerce experience is a plus.
• Excellent communication and presentation skills, both verbal and written, with the ability to communicate complex data concepts and insights to different audiences and levels of understanding.
• Ability to work independently and collaboratively in a fast-paced and dynamic environment, with strong organizational, time management, and problem-solving skills.
• Curiosity and passion for data and data analytics, with the willingness to learn new skills and explore new data opportunities.
• Proficiency in Excel and PowerPoint. Knowledge in SQL, PowerBI, or programming languages, such as Python or R, a plus
• Ability to analyze large and complex data sources such as Nielsen, sell-out retailer data, digital shelf data
• Generate business insights for strategy implementation.

What will be your key responsibilities?

• Support with data discovery for the analytical products being developed and data troubleshooting, route cause analysis of data issues to ensure successful analytical product delivery.
• Ideate and build early perspectives on actionable insights to the problem and work with the data science team to prove/ disprove the hypothesis, continuously iterating as new information and/or insights come to light.
• Help the technical teams with business context and provide necessary feedback during the analysis phase to ensure the outcomes deliver insights that are needed by the business.
• Have a strong understanding of the various statistical techniques, its application and translate the model outcomes into insights/ business terms.
• Ability to lead data analytical exercises/projects.
• Communicate data analysis results and recommendations to various audiences, such as senior management, clients, and partners, using clear and concise language and effective presentation skills, such as slides, charts, graphs, etc.
• Have a strong understanding of the various statistical techniques, its application and translate the model outcomes into insights/ business terms.
• Knowledge of FMCG and Retailer, Digital Commerce knowledge, including knowledge of, and experience using key external third-party data sources including, sell out data (retailer sales portals, amazon vendor central), digital shelf data, Retailer media (Citrus, Criteo) a plus.

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.

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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.