Analyst, Analytics

Mondelēz International•Toronto, ON

1d•CA$84,500 - CA$105,650•Onsite

About The Position

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. This role is for a curious, data-driven Business Analyst to join our manufacturing operations team. In this role, you'll partner with Operations, Supply Chain, Finance, and cross-functional teams to understand business needs, uncover improvement opportunities, and deliver insights that drive smarter decision-making across our production environment. You'll also play an important role in post-ERP project change management — helping ensure that new systems, processes, and tools are successfully adopted and sustained across the organization.

Requirements

Using data analysis to make recommendations to analytic leaders.
Understanding in best-in-class analytics practices.
Knowledge of Indicators (KPI's) and scorecards.
Strong analytical mindset with the ability to turn data into clear, actionable insights.
Excellent communication skills and the ability to work with both technical and non-technical stakeholders across functions.
High attention to detail and a proactive, solution-oriented approach.
Ability to work independently while also contributing to a collaborative team environment.
Comfort working in both office and plant/shop floor settings.
Eagerness to learn and grow in a fast-paced manufacturing environment.
Bachelor’s degree in business administration, Industrial Engineering, Supply Chain Management, Information Systems, or a related field.
Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint).

Nice To Haves

Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus.
Basic understanding of data visualization or reporting tools (e.g., Power BI, Tableau).
Familiarity with ERP systems (e.g., SAP, Oracle, Microsoft Dynamics).
Exposure to WMS (Warehouse Management Systems) or MES (Manufacturing Execution Systems).
Experience or coursework in change management principles.

Responsibilities

Execute the business analytics agenda in conjunction with analytics team leaders.
Work with best-in-class external partners who leverage analytics tools and processes.
Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance.
Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliver.
Partner with cross-functional teams to understand manufacturing challenges and identify opportunities for improvement.
Analyze operational and supply chain metrics to uncover trends, gaps, and actionable insights.
Design, build, and maintain dashboards and reports using tools like Power BI to support plant and leadership decision-making.
Translate business requirements into clear reporting and data solutions that align with operational goals.
Support the development and standardization of reporting.
Contribute to process improvement initiatives by providing data-backed recommendations.
Deliver ad hoc reporting and analysis to support evolving manufacturing and supply chain priorities.
Assist in gathering and documenting business requirements from production leads and supply chain stakeholders.
Support the creation of process maps, workflow diagrams, and functional specifications for manufacturing processes.
Participate in user acceptance testing (UAT) for ERP and other manufacturing systems.
Support post-project change management activities to drive user adoption of new manufacturing systems (e.g., ERP, WMS) and standard operating procedures.
Develop training materials, work instructions, and quick-reference guides tailored to shop floor and office personnel.
Monitor adoption metrics and gather feedback from operators, supervisors, and planners to identify resistance or knowledge gaps.
Participate in post-implementation reviews to assess impact on production operations.
Support sustainment plans to ensure long-term stability during production transitions and system upgrades.