After-Sales, Business Intelligence Analyst

Volkswagen Caminhões e Ônibus

Business Intelligence Analyst at Volkswagen Caminhões e Ônibus collecting and analyzing data. Collaborating with teams to optimize processes and improve decision-making based on insights.

Posted 6/8/2026full-timeSão Paulo • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

ETLPythonSQLTableau

About the role

Key responsibilities & impact

Collect, organize, and analyze large datasets to identify trends and patterns.
Develop algorithms and statistical models for predictive analysis.
Communicate insights clearly and concisely while collaborating with cross-functional teams.
Identify opportunities for process optimization and continuous improvement based on data analysis.
Act as a strategic partner to business areas, translating requirements into actionable analytical solutions.
Collect, structure, and analyze large volumes of data from legacy systems and data lakes.
Develop dashboards and management reports (BI), ensuring data quality and governance.
Build data-driven business cases focused on improving efficiency, profitability, and growth.
Analyze the customer journey and propose improvements to processes, services, and customer experience.
Monitor KPIs and lead the definition of data-driven action plans.
Generate insights from analysis of asset performance, operations, and service contracts.
Develop and implement processes and automations for continuous generation of data, insights, and action execution, ensuring scalability and operational efficiency.
Turn analyses into concrete actions, tracking execution and measuring real business results.
Lead analytical projects and cross-functional initiatives, aligning internal and external stakeholders.
Promote a data-driven culture and best practices for data usage across the organization

Requirements

What you’ll need

Bachelor's degree in Business Administration, Engineering, Economics, Statistics, Computer Science, or related fields.
Postgraduate degree (a plus).
Strong experience in business analytics with a focus on decision-making.
Proficiency in data analysis and visualization tools (advanced Excel, Power BI, Tableau, or Qlik).
Knowledge of SQL and handling structured and unstructured data.
Experience building and managing strategic indicators (KPIs).
Experience with automation of analytical processes (e.g., Python, Alteryx, or similar).
Knowledge of ETL (Extract, Transform, Load), EDA (Exploratory Data Analysis), and fundamentals of Machine Learning.
Experience with agile methodologies and project management.
Knowledge and experience with Microsoft 365 tools (e.g., Excel, PowerPoint, Teams, SharePoint, and Power Platform).
Intermediate English; advanced level preferred.

Benefits

Comp & perks

Market-competitive compensation
Birthday day off
TotalPass gym partnership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysispredictive analysisstatistical modelsdata visualizationSQLautomationETLexploratory data analysismachine learningKPI management

Soft Skills

communicationcollaborationprocess optimizationstrategic thinkingleadershipproblem-solvingdata-driven decision makingcross-functional teamworkinsight generationcontinuous improvement