Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.
How you will contribute
You will:
- Work in close partnership with the business leadership team to execute the analytics agenda
- Identify and incubate best-in-class external partners to drive delivery on strategic projects
- Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
- Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
- Using data analysis to make recommendations to senior leaders
- Technical experience in roles in best-in-class analytics practices
- Experience deploying new analytical approaches in a complex and highly matrixed organization
- Savvy in usage of the analytics techniques to create business impacts
More about this role
What extra ingredients you will bring:
- 8+ years of experience in TALEND, Talend, Big Query, Cloud SQL, Python, Databricks/DataProc, GCP Skills required
- 5+ years of experience in SAP BI/HANA required
- 10+ years of experience managing cross-functional teams and projects required
- 10+ years of experience in stakeholder management and partnering with other leaders in driving key initiatives and data strategy required.
- Proven experience in managing large Analytic teams and Applications service intake into Operations.
- Additional experience in Tableau, Power BI, DataProc, and Databricks will be a big plus.
- Strong functional background with a solid understanding of CPG business and detailed technical knowledge to generate insights from data.
- Ability to analyze, visualize and communicate insights from our data to senior management and other stakeholders.
- Broad knowledge in Data wrangling, Data Engineering & Data Science
- Extensive experience bringing data from multiple platforms and showcase easy to understand visualizations. Skill in turning data into digital insights.
- Exceptional communication and presentation skills.
- Drive for results, Problem solving, integrity & trust, organization agility with strong business acumen. Willingness to learn new technologies and be hands on, if required to support the team
Education / Certifications:
- University degree in IT or Data Analytics
- ITIL Foundation Certified (Preferable)
- Certifications in Business Intelligence Tools & technologies (Preferable)
No Relocation support available
Business Unit Summary
With several brands that are among consumer favourites, including Cadbury, OREO, Christie and Maynards, we are one of the largest snack companies in Canada. Many of our iconic brands are ranked first, second or third in their categories, and our manufacturers and pastry chefs have an enviable mission to create and manufacture chocolate, cookies, crackers and candy in our iconic factories and locations across Ontario. A company with many ambitious growth targets, we have invested close to $250 million in our Ontario plants in recent years alone; We run marketing campaigns promoting innovative products such as Cadbury Dark Milk tablets and OREO Birthday Cake and Peppermint Bark cookies. Our community of more than 2,683 employees is present across Canada and our head office is in Toronto. Passion and dedication characterize our Company. We encourage all our employees to be themselves at work, to speak out and to encourage diversity in all areas of activity. In addition, we foster a flexible work environment and place great importance on the notions of trust and empathy to promote a true sense of belonging.
Mondelez welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. Please note that the term "accommodation" in this posting means changes that are made in order to meet the needs of a person with disabilities and not lodging.
Job Type
Regular
Analytics & Modelling
Analytics & Data Science
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