J2L Specialized Recruitment

IT Analytics Sr. Analyst (Data Architect)

Our client is a dynamic and innovative player in the global automotive industry. They are recognized for their commitment to advancing automotive technology and producing a diverse range of vehicles, including SUVs, trucks, and electric vehicles. With a strong focus on sustainability and cutting-edge engineering, our client is a leader in delivering high-quality, performance-driven automobiles. They emphasize collaboration, innovation, and excellence in their approach to manufacturing and are dedicated to meeting the evolving needs of the market. As our client, they provide exciting opportunities for professionals to contribute to the growth and success of the company, driving forward advancements in the automotive sector.


The Position

You will be responsible for overseeing the organization’s analytics initiatives and ensuring the effective utilization of data to drive informed business decisions. The ideal candidate will have a strong background in data analysis along with proven leadership and project management capabilities.


Main Responsibilities

  • Analytics Strategy and Planning: Collaborate with business stakeholders to understand their analytical needs and requirements.
  • Data Analysis and Insights: Develop and implement data analysis methodologies, models, and algorithms to solve complex business problems and identify opportunities for improvement. Ensure data quality and integrity by establishing data governance practices and data validation processes.
  • Business Intelligence and Reporting: Collaborate with business users to define and document reporting requirements and ensure their alignment with business objectives.
  • Data Privacy and Security: Collaborate with the IT security team to implement appropriate data protection measures and establish access controls for sensitive data.
  • Stakeholder Engagement and Collaboration: Collaborate with cross-functional teams, including business units, IT teams, to understand their analytics needs and provide effective solutions. Build and maintain strong relationships with internal and external stakeholders to foster collaboration and support the organization’s analytics initiatives.


Specific Responsibilities

  • Demand management: Reporting and prioritizing the demands with business area, manage demands and activities with IT suppliers, conduct and monitoring IT system project (Skill of project manager)
  • System Deploy: Lead and support technical team with internal procedures of company.
  • Requirements management: Refining and get approval from key users about system improvements and projects. Manage the interfaces requirements with related systems.
  • System Test: Elaborate test scenarios, doing system tests and support user tests and collect test evidence with users. • Corporate standards: Interact and assure rules and standards of cross functional teams.


Professional Experience:

  • Collaborated with business stakeholders to understand their analytical needs and requirements, ensuring effective data-driven decision-making.
  • Developed and implemented data analysis methodologies, models, and algorithms to solve complex business problems and drive strategic initiatives.
  • Ensured data quality and integrity by establishing data governance practices and implementing data validation processes.
  • Collaborated with the IT security team to ensure compliance with data privacy regulations and implement appropriate data protection measures.
  • Engaged with cross-functional teams, including business units and IT teams, to understand their analytics needs and provide effective solutions.
  • Stayed updated with industry trends and advancements in analytics, identifying opportunities for the organization to leverage new technologies and methodologies.



  • Excellent communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels of the organization.
  • Proven project management skills, with the ability to prioritize tasks, manage resources, and deliver projects on time and within budget.
  • Familiarity with data privacy regulations, data governance, and security best practices.
  • Strong problem-solving and critical-thinking abilities, with a strategic mindset to drive data-driven decision-making.
  • Technical Competencies:
  • Data Analysis: Proficiency in performing data analysis using tools and technologies such as SQL.
  • Data Modeling: Knowledge of data modeling techniques and methodologies to design and optimize data structures that support efficient data analysis and reporting.
  • Data Governance: Understanding of data governance principles, including data quality, data lineage, and data security, to ensure the integrity and confidentiality of data.
  • Database Management: Knowledge of database management systems and data warehousing concepts to effectively manage data storage, retrieval, and performance optimization.
  • Data Integration and ETL: Experience in integrating data from various sources and performing Extract, Transform, Load (ETL) processes to ensure data consistency and accuracy.
  • Project Management: Strong project management skills to plan, execute, and monitor analytics projects, including resource allocation, timeline management, and deliverable tracking.
  • Data Privacy and Security: Understanding of data privacy regulations and security best practices to ensure compliance and protect sensitive data assets.
  • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with stakeholders, understand their requirements, and present analytical findings in a clear and meaningful manner.
  • Problem-Solving and Critical Thinking: Strong analytical and problem-solving abilities to identify root causes, propose innovative solutions, and make data-driven recommendations.
  • Continuous Learning: Dedication to staying updated with the latest trends, tools, and methodologies in the field of data analytics to drive continuous improvement and innovation.
  • Languages: Advanced english proficiency.
  • The work schedule will follow a hybrid model, combining 3 days in the office with 2 days of remote work from home.

If you’re passionate about your work and ready to contribute to our organization’s success, we invite you to apply and become part of our dynamic team.


Segmento: Automotive Data IT
Modalide: CLT
País: Brasil
Região: Brooklin Chácara Santo Antônio São Paulo
Regime: Híbrido

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