Mondelez International Global eCommerce Data Lead in East Hanover, New Jersey

Job Description

With our portfolio of global Power Brands such as Oreo and belVita biscuits, Cadbury Dairy Milk and Milka chocolate and Trident gum, we’re the world’s #1 in biscuits and candy, and #2 in chocolate and gum. We’re Mondelēz International , a snacking powerhouse with operations in more than 80 countries, with approximately 90,000 employees globally and our brands are marketed in around 165 countries.

Our purpose and vision is to create more MOMENTS OF JOY by building the BEST SNACKING COMPANY IN THE WORLD .

Information Technology and Solutions

In Information Systems, you’ll connect and empower every aspect of our global organization through excellence in technology and services. This includes investing in growth-enabling solutions as well as systems that integrate our supply chain from procurement to manufacturing, and customer service to logistics. You’ll help Mondelēz International implement the right business capabilities, powered by better information.


Purpose of Role

Define and execute the global eCommerce digital data and analytics strategy acting as a bridge between the eCommerce business needs and the technical teams that will support in the delivery of the solutions. eCommerce data encompasses Consumer, Retailers, Supply Chain, B2C and B2B Direct to Consumer, Marketing, Category and Product Sales and Content performance. This role requires proficiency in both Data & Analytics methods and tools and CPG industry data (Nielsen. Kantar, Europanel, Media, Retailers)

Main Responsibilities

  1. Define what eCommerce data is and what are the key areas of measurement that are relevant to our business as well as the whole eCommerce analytics strategy

  2. Synthesize demand at customer / market level into a roadmap to ensure business value, consistency, adoption of best practices, innovation and scalability of analytics solutions across the globe.

  3. Design and implement a data management processes for data quality to turn complex data sets from multiple sources internal and externally, structured and unstructured into actionable dashboards and insights

  4. Partner with the eCommerce business to develop and analyze all key performance indicators for online sales channels. Support the execution of ad hoc and recurring analyses.

  5. Analyze performance and impact of digital marketing and merchandising investments with key eRetailer accounts and DTC to determine customer impact and return on investment (ROI) online.

  6. Shape the organizational culture to one that values and practices data-informed decision-making.

  7. Ensure that the way we organize around data is defined with clear goals and objectives and that our team is delivering value to the organization.

  8. Partner with internal Information Technology and Solutions teams and manage eCommerce data provider relationships to develop short and long term data analytics infrastructure relevant to the eCommerce business


Career Experiences Required & Role Implications

  1. Bachelor’s degree in Statistics, Applied Math, Operations Research, Economics or related quantitative discipline is required.

  2. Minimum of 6 years professional experience including experience extracting, manipulating and analyzing data, drawing conclusions and making recommendations; 3 years in an eCommerce-oriented role preferred; at least 2 years leading and managing an analytics team.

  3. Proven collaboration ability, effectively working across multiple stakeholder groups, cross-functional groups, departments and leadership teams both within the organization and outside of the organization.

  4. Experience using in-database analytics, SQL and similar programming languages to retrieve, merge, and hygiene data from multiple sources or platforms. Experience with Tableau for delivering reports is preferred.

  5. Familiarity with web analytics tools (Amazon Retail Analytics, Google Analytics, etc.)

  6. Familiarity with relational databases and scripting languages that support data manipulation and reporting automation; examples being SQL, Visual Basic, SPSS, Python, etc.

  7. Working knowledge of data science techniques (statistical models, various regression techniques, decision tree algorithms, cluster analysis, etc)

  8. Familiarity with Artificial Intelligence and Machine Learning techniques and systems

  9. Demonstrated intellectual curiosity with a passion for developing and analyzing large, complex data sets and converting them into the information/insights

  10. CPG products experience a strong plus

Key Leadership Competencies

Business acumen

Intellectual horsepower

Peer relationships

Managing vision and purpose

Problem solving

Organizational agility

Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, gender, national origin, disability, protected Veteran status, uniform service, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.

Applicants must complete all required steps in the application process, including providing a Resume/CV, in order to be considered for this position.