Top Data & Analytics Jobs

As a Master Data Business Partner at Mondelēz International, you'll work with functions and business units to develop strategic roadmaps, ensure commitments are met, and support operational processes. Your role includes supporting improvements, managing key performance indicators, and collaborating with internal and external stakeholders to drive project completion.

The Analyst will manage accounts receivables, focusing on cash collection, processing deductions, and communication for optimal account management. Responsibilities include reconciliation of credits, working with sales on debts, and ensuring adherence to payment terms.

Manage end-to-end logistics operations, including warehouse and transportation, ensuring service levels and budget compliance. Lead continuous improvement initiatives, foster relationships with third-party service providers, and implement business continuity plans. Drive strategic thinking and collaboration with stakeholders.

The Manager of Analytics at Mondelēz International will lead the analytics agenda, develop advanced data models/algorithms, and extract strategic insights from data to impact business performance. This role involves collaborating with business leadership and external partners to deliver analytics insights and drive long-term business success.

The Data Analyst will manage and compile KPI reporting for the Quality function, support data integration and governance, provide analysis for continuous improvement in MDLZ Supply Chain, and develop Quality Data models. Strong analytical skills and computer literacy in tools like Power BI and Tableau are necessary.

In this role, you will lead the data strategy and development of analytical models for sales execution, while engaging with stakeholders to improve business performance. You'll drive the analytics program, propose solutions aligned with overall strategy, and manage cross-functional teams to deliver analytics products.

The Sr. Scientist II will lead Clif Bar Brand's R&D activities, coordinating technical projects, managing product development, conducting trials, analyzing data using digital models, and influencing decisions across teams. Responsibilities include managing innovation, productivity projects, ingredient substitutions, and consumer complaint reductions while ensuring compliance with quality standards.