Manager, Data & Analytics

Mondelēz International; São Paulo; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

An established industry player is seeking a Business Analyst to drive innovative analytics solutions that enhance retail performance. In this role, you will collaborate with cross-functional teams to develop cutting-edge models that leverage AI and data to provide actionable insights. You will be at the forefront of transforming data into strategic recommendations, ensuring business growth and efficiency. If you are passionate about using data to make impactful decisions and thrive in a dynamic environment, this opportunity is perfect for you.

Serviços

Health Insurance

Retirement Plan

Flexible Working Hours

Professional Development

Employee Discounts

Qualificações

• 5+ years in Product Development or 3+ years in CPG Retail.
• Experience leading technical teams and collaborating with stakeholders.

Responsabilidades

• Lead the development of Retail Execution and Analytics solutions.
• Translate user needs into user stories and maintain a prioritized backlog.

Conhecimentos

Data Analysis

Business Analytics

Machine Learning

Data Visualization

Stakeholder Engagement

Formação académica

Bachelor's in Information Systems

Master's in Data Science

Ferramentas

Excel

PowerPoint

SQL

Git

Descrição da oferta de emprego

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:

1. Work in close partnership with the business leadership team to execute the analytics agenda.
2. Identify and incubate best-in-class external partners to drive delivery on strategic projects.
3. Develop custom models/algorithms to uncover signals, patterns, and trends to drive long-term business performance.
4. 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, along with the following experience and knowledge:

• Using data analysis to make recommendations to senior leaders.
• Technical experience in roles practicing best-in-class analytics practices.
• Experience deploying new analytical approaches in a complex and highly matrixed organization.
• Savvy in the usage of analytics techniques to create business impacts.

IN THIS ROLE

You will have the opportunity to lead the development of a cutting-edge Retail Execution and Analytics solution that provides localized recommendations across US stores. You will be responsible for the technical functionality of the initiative, leading data architects, data scientists, and engineers to drive the overall US Retail solution while collaborating with business teams and stakeholders. You will enable solutions like Store Potential, Suggested Actions, Next Best Display, Perfect Store, Scheduling, Guided Selling, and others in the North American retail domain.

WHAT THIS TEAM AND ROLE DOES

Our team is at the forefront of driving AI, data, and analytics across Mondelez. As a Business Analyst within the Mondelez Data & Analytics team, you will oversee the team working towards objectives such as:

• Building Suggested Actions and Perfect Store solutions using ML & AI models to provide tailored store recommendations on Next Best Display, Shelving, Suggested Order, and Assortment.

• Predicting the ideal product assortment for store clusters by leveraging diverse data sources on store characteristics, regional nuances, and shopper demographics.

• Piloting and expanding the Suggested Actions solution to the entire store base, iterating based on feedback.

• Leading the data science and engineering teams end-to-end in developing ML & AI models to predict store recommendations, ensuring business performance, and iterating based on test learnings.

WHAT YOU WILL BRING

• Experience leading technical teams and collaborating with stakeholders between business and data functions.

• Passion for using data and AI to drive business growth and comfort working with data in an entrepreneurial, fast-paced setting.

• Excellent communication and collaboration skills to facilitate effective teamwork and stakeholder engagement, explaining complex data concepts to non-technical individuals.

JOB REQUIREMENTS

• Utilize market and industry knowledge to translate user needs into user stories, acceptance criteria, and requirements for your team. Maintain a prioritized backlog, staying multiple sprints ahead.

• Oversee the day-to-day technical development of the solution, creating strong alignment within the team to achieve goals. Validate weekly progress and lead business user tests to ensure product quality before deployment.

• Define critical metrics to determine your product's success and develop a deep understanding of its performance. Plan initiatives and resolve bottlenecks.

• Lead iterative testing phases, incorporating feedback for continuous improvement.

• Integrate usability studies and research into product requirements to enhance user satisfaction and ensure customer-driven design.

SPECIFIC SKILLS AND EXPERIENCES

• Bachelor’s degree in Information Systems/Technology, Business Analytics, or a related field.

• 5+ years of Product Development experience (acting as Business Analyst or Product Owner) or 3+ years in CPG Retail, preferably US (e.g., Perfect Store, Displays, Shelving, Scheduling, Guided Selling), with strategic decision-making experience for retail teams preferred.

• Able to thrive in uncertainty with a high degree of ownership and bias for action.

• Highly proficient in Excel, PowerPoint, SQL, and knowledgeable about AI/ML/GenAI.

• Strong understanding of the software development lifecycle and experience working closely with engineering teams.

• Strong technical and quantitative background in delivering data and analytics projects.

• Deep knowledge of AI/data principles, including ML algorithm selection, data architecture, familiarity with cloud technologies, etc.

• Experience in setting up and monitoring AI models in production.

• Experience with version control systems (e.g., Git) and CI/CD pipelines.

• Familiarity with agile methodologies (ceremonies, writing user stories).

GOOD TO HAVE SKILLS AND EXPERIENCES

• Master's degree or higher in Data Science, AI, or Machine Learning.

• Experience delivering transformational projects with change management.

• Certifications like PMP or Scrum Master.

• Knowledge of syndicated data (Nielsen/IRI), retail data (Salesforce, ePOS), and household panel sources.

• Programming skills (e.g., Python).

• Understanding of privacy regulations and data management best practices.

• Passion for technology and staying updated on industry trends.