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
Are You Ready to Make It Happen at Mondelēz International?
In this role, you will have the opportunity to lead the development of a cutting-edge solution that aims to automate data pipelines, reporting and insights to standardize business performance across the organization. You will play an instrumental part in shaping and prioritizing the features of this solution in daily operations. You will define the requirements, perform the analysis and identify patterns in large amounts of data.
Join our Mission to Lead the Future of Snacking. Make It With Pride.
How you will contribute:
- Define requirements for analysis in Sales functional area and perform detailed analysis and identify trends defined in the requirements, in Customer and Category Analytics, Operational Sales Analytics, Retail Analytics and Execution, RGM, TPM, and other solutions.
- Work as a single point of contact within D&A domain for Business and IT Stakeholders to identify and prioritize requirements and drive adoption of D&A products.
- Identify patterns and help the business react to changing business conditions
- Lead the team to perform root-cause analysis and interpret data.
- Work with large amounts of data such as facts, figures, and mathematics/formulas and undertake analytical activities, and delivers analysis outputs in accordance with customer needs and conforming to established standards.
- Understand and be involved with aspects of the data exploration and analysis process.
- As an investigator on the data & analytics team, you will apply your knowledge of languages and pull data out of SQL databases, using Tableau/Power BI type tools and producing data visualizations and reporting dashboards.
- Develop key performance indicators and create visualizations of the data
- Utilize business intelligence and analytic tools
- Execute business analytics agenda using a methodical approach
- Deliver analytical projects
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
- 5+ years of work experience in Data Analytics or Data Science required
- Power BI, Tableau, and GCP (Google Cloud Platform) experience preferred
- Knowledge of KPIs and scorecards required
- Leader mindset - ability to make decisions and take accountability.
- Experience in Product Management - contributing to Product Vision and Roadmap with the focus on consumers, partnering with Stakeholders, ensuring adoption and cost-efficiency.
- Passion for building high-quality data products, using data to drive business growth and be comfortable working with data in an entrepreneurial, fast-paced setting.
- Experience in Commercial Business domain, ideally in CPG or FMCG industry.
- Excellent communication and collaboration skills to facilitate effective teamwork and stakeholder engagement, explaining complex data concepts to non-technical individuals.
What extra ingredients you will bring:
- Understanding industry-specific external data sources used to measure and track performance (e.g., Nielsen).
- Understanding of the consumer goods industry or similar industries.
- Experience with data governance, privacy regulations, and best practices is a plus.
- Experience working with Jira or ADO is a plus
Education / Certifications:• Bachelor's degree in Information Systems/Technology, Business Analytics, or a related field
Work Modality: Hybrid
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
