Sr Data Analytics Engineer

Continental; São Paulo; Presencial; BRL 180 000 - 260 000; Tempo integral

Resumo da oferta

Continental is seeking a Data Analytics Engineer in São Paulo to design, develop, and maintain scalable data solutions transforming raw data into actionable insights. You will work with business stakeholders, analysts, and IT teams to build robust data models, automated pipelines, and interactive reports.

Responsibilities include data integration, governance, DAX optimization, and training others to improve data literacy.

Qualificações

• Advanced English required; Spanish is a plus.
• Bachelor’s degree in a relevant field.
• 4+ years in BI or analytics roles.
• Experience in virtual project management within remote teams.
• Experience integrating Power BI with SharePoint/Teams or other collaboration tools.
• Proficiency in Power BI, including DAX, M, and data modeling.
• Excellent problem-solving, analytical thinking, and attention to detail.
• Effective communication with stakeholders and cross-functional teams.

Responsabilidades

• Data Engineering and Integration: design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Integrate data from multiple enterprise systems, databases, APIs, and cloud platforms.
• Ensure data quality, governance, and security across solutions.
• Monitor and optimize data workflows for performance and reliability.

Conhecimentos

Power BI

DAX

Power Query M

Data Modeling

Communication

Problem Solving

Formação académica

Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Administration, Data Science/Analytics or related field

Ferramentas

SharePoint

Teams

Descrição da oferta de emprego

Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2022, Continental generated sales of €39.4 billion and currently employs around 200,000 people in 57 countries and markets.

We are seeking a highly motivated Data Analytics Engineer to design, develop, and maintain scalable data solutions that transform raw data into actionable business insights. This role combines data engineering, analytics, and business intelligence capabilities to support strategic decision-making, operational excellence, and digital transformation initiatives.

The ideal candidate will work closely with business stakeholders, analysts, power users and IT teams to develop robust data models, automated data pipelines, and interactive reporting solutions that drive measurable business value.

Responsibilities:

Data Engineering and Integration

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Integrate data from multiple enterprise systems, databases, APIs, and cloud platforms.
• Ensure data quality, consistency, governance, and security across all solutions.
• Monitor and optimize data workflows for performance and reliability.

Development & Optimization

• Design, develop, and maintain dashboards and reports using Power BI, ensuring compliance with enterprise standards for governance and scalability.
• Collaborate with cross-functional teams to gather business requirements and translate them into data solutions, ensuring consistent KPI definitions.
• Validate data sources and ensure semantic models comply with security rules.
• Apply best practices for DAX, data modeling, and performance optimization.
• Document processes and enforce adherence to governance practices.

Support & Enablement

• Act as the main point of contact for business users, supporting reporting initiatives.
• Troubleshoot issues related to data sources, refresh schedules, and visualization.
• Provide training, guidelines, and documentation to improve data literacy and effective report usage.
• Foster active community engagement.

Innovation

• Stay up to date with the latest Power BI adopting new capabilities to enhance our analytics maturity.

Required

• Advanced English (Spanish is a plus).
• Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Administration, Data Science/Analytics or related field.
• 4+ years in BI or analytics roles.
• Experience in virtual project management within remote teams.
• Experience integrating Power BI with SharePoint, Teams, or other collaboration tools.
• Proficiency in Power BI, includingDAX, M Language for Power Query, and data modeling.
• Excellent problem-solving skills, analytical thinking, and attention to detail.
• Effective communication skills, with proven ability to influence stakeholders and work collaboratively in cross-functional teams.

Preferred

• Power BI Data Analyst Associate (PL-300) certification.
• Basics in SQL, Python, and/or KNIME Workflow Development.
• Experience with data warehousing, ETL processes, and cloud platforms (Azure preferred).

All your information will be kept confidential according to EEO guidelines.