Business Intelligence & Data Analytics (Purchasing area) - São Caetano do Sul/SP

General Motors; São Caetano do Sul; Híbrido; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A global automotive leader seeks a Data Analyst to perform data analysis, visualization, and automation for the Purchasing area. The role involves developing tools, automating processes, and collaborating with teams to drive digital transformation. Candidates should have a Bachelor's degree, experience in data roles, and proficiency in tools like Power BI and Python. This hybrid position requires on-site work three times a week in São Caetano do Sul, Brazil.

Qualificações

• Proven experience in data-related roles such as Data Analyst or Data Scientist.
• Intermediate or higher level of English proficiency.
• Strong skills in data acquisition, ETL, and modeling.

Responsabilidades

• Analyze and model data to structure and organize information.
• Develop and automate data pipelines and dashboards.
• Collaborate with cross-functional teams to understand requirements.

Conhecimentos

Data analysis

Data visualization

Process automation

Artificial intelligence

Collaboration

Formação académica

Bachelor’s degree in Engineering, Computer Science, Business Administration, or related fields

Ferramentas

Power BI

Python

Knime

Excel

Access

SQL

Descrição da oferta de emprego

Hybrid: This position requires you to work on-site 3 times a week (Tue to Thu)

What You'll Do (Responsibilities)

Role Overview:

Perform data analysis, visualization, and process automation using artificial intelligence to support the Purchasing area. The candidate should be capable of translating business challenges into data-driven solutions, developing tools for team use, and driving digital transformation initiatives.

Key Responsibilities:

• Analyze and model data to structure and organize information effectively
• Develop and automate data pipelines, reports, dashboards, and tools using Power BI, Python, Knime, Excel, Access, and other relevant platforms
• Integrate data from multiple sources (e.g., Oracle, Databricks, Hive/Hue) to generate actionable insights
• Design robust backend systems and intuitive, functional user interfaces
• Ensure performance, reliability, and security of developed solutions
• Maintain and enhance existing tools and reporting systems
• Apply artificial intelligence techniques to automate repetitive tasks and optimize processes
• Collaborate with cross-functional teams to understand requirements and deliver effective solutions
• Document processes and maintain up-to-date internal systems and tools
• Play a key role in the digital transformation journey of the Purchasing team

Y our Skills & Abilities (Required Qualifications)

• Bachelor’s degree in Engineering, Computer Science, Business Administration, or related fields
• Intermediate or higher level of English proficiency
• Proven experience in data-related roles such as Data Analyst, Data Scientist, or related areas
• Proficiency in data visualization tools (Power BI preferred), including desktop and server deployment; experience with similar tools like IBM Cognos, Business Objects, Excel, and Access
• Strong skills in data acquisition, ETL (e.g., Knime), modeling (Python, R), and SQL development
• Advanced knowledge in managing and integrating relational and non-relational databases (e.g., Oracle, Hive, Databricks, proprietary systems)
• Ability to design and implement both canned and ad-hoc reports, as well as complex dashboard solutions
• Skilled in transforming complex data into practical, functional, and visually intuitive solutions
• Strong organizational skills, proactivity, and ability to manage multiple projects simultaneously
• Effective communication and collaboration across diverse teams and profiles
• Commitment to meeting deadlines and delivering high-quality results
• Familiarity with agile methodologies (Scrum/Agile)
• Ability to translate user needs into digitalization workstreams

What Can Give You A Competitive Edge (Preference Qualifications):

• Experience in Supply Chain and S&OP processes (preferred)