Data Analyst – Facilities

General Motors

Data Analyst role at GM, transforming operational and financial data into actionable insights. Collaborating with teams to support business decisions in Facilities, Transport, and Restaurant areas.

Posted 4/26/2026full-timeSão José dos Campos • 🇧🇷 BrazilJuniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Manage software licenses and serve as administrator for the implementation, training, and management of Restaurant and Transportation applications.
Consolidate, process, and analyze operational and financial facilities data, identifying trends, variances, and opportunities for cost reduction and productivity gains.
Automate recurring analyses and routines (SQL, reports, templates), reducing rework and error risk.
Build and maintain dashboards and management reports (Power BI and GM corporate tools) to monitor expenses, investments, SLAs, and supplier performance.
Work in partnership with the corporate team, ensuring alignment with official platforms (BI, Python, KNIME) and GM data governance standards.
Support the regional Facilities team in budgeting, forecasting, and monthly control, providing ad‑hoc analyses and decision-making support.
Translate business requirements into structured analyses and present insights and strategic recommendations to leadership.

Requirements

What you’ll need

Bachelor's degree in Data Science, Computer Science, Engineering, Information Systems, or related fields.
Experience in Data Analysis, BI, Controllership, or related areas, with a focus on operational costs and decision-making.
Knowledge of SQL, Python, KNIME, or similar tools for data analysis and automation.
Advanced Excel (Power Query, Power Pivot, macros).
Proficiency in Power BI and BI tools for data modeling and creation of management dashboards.
Ability to translate complex analyses into clear, concise messages for different audiences.
Analytical and organized profile, with an ownership mindset and the ability to manage multiple priorities.
Availability to work in São Caetano do Sul or São José dos Campos (both in the state of São Paulo).

Benefits

Comp & perks

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Hard Skills & Tools

Data AnalysisSQLPythonKNIMEPower BIAdvanced ExcelPower QueryPower PivotMacrosData Modeling

Soft Skills

AnalyticalOrganizedOwnership MindsetCommunicationDecision-MakingAbility to Manage Multiple PrioritiesPresentation SkillsInsight Translation

Certifications

Bachelor's Degree in Data ScienceBachelor's Degree in Computer ScienceBachelor's Degree in EngineeringBachelor's Degree in Information Systems