Senior Data Analyst

AB InBev

Senior Data Analyst leveraging advanced analytics and data engineering to drive decision-making at AB InBev. Collaborating across teams to develop actionable insights and reporting solutions.

Posted 7/21/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing scalable analytical solutions using Power BI, Azure Databricks, SQL, and Python, while ensuring data quality and governance. Proficient in data storytelling and visualization to support strategic business decisions.

Highest-signal resume keywords

Power BI ExpertiseAdvanced SQL SkillsPython ProficiencyAzure Databricks ExperienceData Analytics Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsBusiness IntelligenceDAXData ModelingStatistical TechniquesExploratory AnalysisHypothesis TestingData TransformationCI/CD PracticesVersion Control

Soft Skills

Strong CommunicationStakeholder ManagementData Storytelling

Tools & Technologies

Power BIAzure DatabricksSQLPythonGit

Industry Keywords

Data QualityKPI FrameworksSelf-Service AnalyticsCloud-Based AnalyticsAnalytical Problem-Solving

Tech Stack

Tools & technologies

AzureCloudPySparkPythonSQL

About the role

Key responsibilities & impact

Develop scalable analytical solutions using Power BI, Azure Databricks, SQL, and Python.
Design and maintain dashboards, KPI frameworks, semantic models, and self-service analytics solutions.
Transform data into actionable insights that support strategic business decisions.
Apply statistical and analytical techniques to identify trends, opportunities, and business impacts.
Perform exploratory analysis, ad hoc studies, and support experimentation initiatives.
Partner with Product, Commercial and Technology teams to solve business problems through data.
Ensure data quality, consistency, governance, and reliability across analytical products.
Follow software engineering best practices, including Git-based development, version control, testing, and CI/CD processes.
Communicate insights through effective data storytelling, visualizations, and executive presentations.

Requirements

What you’ll need

Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field.
Proven experience in Data Analytics, Business Intelligence, or related fields.
Advanced SQL skills for data extraction, transformation, and analysis.
Strong Power BI expertise, including dashboard development, DAX, data modeling, visualization best practices, and user experience design.
Experience with Azure Databricks, SparkSQL, PySpark, and modern cloud-based analytics platforms.
Proficiency in Python for data analysis and analytical solution development.
Experience with Git, version control workflows, and CI/CD practices.
Understanding of statistics, experimentation, hypothesis testing, and analytical problem-solving.
Strong communication, stakeholder management, and data storytelling skills.
Fluent English (written and spoken). Spanish is a plus.

Benefits

Comp & perks

Performance based bonus*
Attendance Bonus*
Private pension plan
Meal Allowance
Casual office and dress code
Days off*
Health, dental, and life insurance
Medicines discounts
WellHub partnership
Childcare subsidies
Discounts on Ambev products*
Clube Ben partnership
Scholarship*
School materials assurance
Language and training platforms
Transport allowance