Sr. Analyst, Reporting & Analytics — LA

Mondelez International Inc.; Vitória de Santo Antão, Curitiba; Híbrido; MXN 410 000 - 615 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Remote days

Resumo da oferta

Mondelez Brasil is seeking a data analytics professional to support the business with models that uncover trends and drive long-term performance. You will work with analytics team leaders and external partners to deliver insights and stable dashboards.

The role focuses on end-to-end reporting, data integration, visualization, KPI monitoring, and stakeholder communication, using SQL and BI tools. Hybrid work is available, with some remote days.

Qualificações

• Strong analytical background with data-driven decision making.
• Proficiency in SQL for data querying and transformation.
• Experience with BI tools like Tableau/Power BI and Excel.

Responsabilidades

• End-to-end report creation from data integration to visualization.
• Identify trends and provide initial recommendations to stakeholders.
• Collaborate with analytics leaders and external partners to drive business performance.

Conhecimentos

Analytical thinking

SQL

Data visualization

Problem solving

Python/R

Ferramentas

Tableau

Excel

Alteryx

Power BI

Looker

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.

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:

• 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

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 analytic leaders
• Understanding in best-in-class analytics practices
• Knowledge of Indicators (KPI's) and scorecards
• Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus

More About This Role

We are aware of our role as transformation agents to generate positive change, so diversity, equity and inclusion are one of our priorities. We believe in breaking down stereotypes and barriers to ensure the representation of society within our company. And for that, we have a Diversity Committee that operates on four fronts, People with disabilities (PCD), Ethnic‑Racial, Women and LGBTQIAP+, in addition to being part of MOVER – Movimento pela Equidade Racial.

Key responsibilites

• Responsible for the end-to-end process of report creation, from data integration and transformation to visualization and timely publication
• Proactively identify trends and exceptions, conduct root cause analysis, and provide initial recommendations to stakeholders, directly contributing to the optimization of functional and business unit performance

KPIs Management

• Overall LA NR and volume
• Self‑Service Report/Dashboard Utilization
• Dashboard Uptime/Availability
• Report/Dashboard Accuracy Rate

Hard Skills

• Data management and visualization tools — Advanced
• Understanding of business processes (SC planning, commercial planning and finance) — Basic
• Python, R or other tools for statistical analysis — Basic
• Progressive experience in data analytics, business intelligence, or reporting
• Proven experience with data integration, ETL processes, and advanced visualization tools (e.g., Tableau, Power BI, Qlik View, Looker)
• Strong proficiency in SQL for data querying, manipulation, and transformation
• Experience with data integration processes and working with large datasets
• Familiarity with data governance principles and best practices for data quality

Soft Skills

• Analytical, critical thinking, and problem‑solving abilities — Intermediate
• Ability to work independently and collaboratively within a team — Intermediate

Mondelez International is attentive to the future of work and values the wellbeing of our people, seeking to provide the best experiences. Therefore, some of our administrative vacancies are eligible for the hybrid model, allowing remote work on certain days of the week.

No Relocation support available

Business Unit Summary

Mondelēz Brasil is Mondelēz International’s fourth largest operation in the world, with approximately 7,500 employees proudly producing, selling and distributing some of the most beloved brands of chewing gum, candies, powdered beverages, cream cheeses, chocolates, cookies and desserts in Brazil. We make the Brazilians’ favorite products such as Bis, Lacta, Oreo, Club Social, Sonho de Valsa, Trakinas, Trident, Halls, Royal, Tang and many others. We are truly part of the lives of Brazilians: You can find our mouth‑watering products in more than 700,000 points of sale and we are present in more than 92% of Brazilian homes. Our factories are located in Vitória de Santo Antão, in the state of Pernambuco, and Curitiba, in the state of Paraná. We are also home to one of the company’s 11 technology centers around the world, responsible for research and development, so we can continue to create new and innovative products, offering the right snack for the right time, done in the right way.

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Type

• Regular
• Analytics & Modelling
• Analytics & Data Science