Job Description

About Monster Energy:

Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us.

A Day in The Life:

Supports the development and maintenance of business intelligence (BI) reporting and data infrastructure across Latin America (LATAM) markets. This role focuses on data validation, dashboard updates, and the integration of multiple data sources to ensure accurate and timely insights for commercial decision-making. The position provides exposure to analytics tools and processes that enable data-driven performance management.

The Impact You'll Make:

• Download, organize, and validate Nielsen data across LATAM markets; update standardized datasets and support monthly reporting deliverables for distribution to leadership teams.
• Run shipment and depletion reports from internal systems (SAPBI, Salient, etc.), reconcile against source data, and ensure accuracy of master datasets used in dashboards and reporting.
• Assist in maintaining and updating Power BI dashboards by refreshing datasets, validating outputs, and supporting enhancements to improve reporting efficiency and usability.
• Support structuring and formatting of raw data files (Excel/CSV) to align with internal data models and ensure proper integration into reporting tools.
• Update and maintain financial datasets by consolidating reports into standardized formats to support internal financial dashboards and analysis.
• Assist in preparing executive-ready reports and presentations by compiling data, ensuring accuracy, and formatting outputs in Excel and PowerPoint.
• Identify opportunities to streamline reporting processes and support early-stage automation initiatives, including exposure to AI-driven analytics workflows.
• Provide analytical support for business questions, including data pulls, summaries, and insights across markets and functions.

Who You Are:

Preferred Fields of Study:

• Business, Finance, Economics, Data Science, Information Systems. Relative experience (including academic projects, data analysis, business intelligence, or related business coursework)
• Microsoft Excel, PowerPoint, Outlook, Teams, Power BI (optional)
• Strong curiosity, ownership mindset