Data Analytics & Business Intelligence ISEAA Professional

We are seeking a talented and driven individual to join our team as a Data Analytics Business Intelligence ISEAA for the MB/IEC-F department. In this role, you will be a key player in owning and managing regional CSP data tools, including DTO UIO and PRIME, and ensuring accurate and consistent reporting. Your responsibilities will also include coordinating regional enablement initiatives and acting as a liaison with Regional Centers to define reporting needs and validate outputs.

• Bachelors degree in Computer Science, Information Technology, or a related field.
• Minimum 5 years of experience in data analytics, business intelligence, or a similar role.
• Strong knowledge of data management principles and best practices.
• Proficiency in data analysis tools and techniques, including SQL and data visualization software.
• Excellent problem-solving and analytical skills, with the ability to identify and resolve data-related issues.
• Effective communication and collaboration skills, with the ability to work cross-functionally.
• Ability to manage multiple projects simultaneously and prioritize tasks effectively.
• Familiarity with automotive industry data and reporting standards is preferred.
• Willingness to stay updated with industry trends and technological advancements.
• Strong attention to detail and a commitment to delivering high-quality work.

• Manage and own regional CSP data tools, such as DTO UIO and PRIME, to ensure efficient data collection and reporting.
• Maintain master data and system governance to uphold the integrity and consistency of reporting processes.
• Coordinate and oversee data scrapping coordination, ensuring data accuracy and reliability.
• Steer IT landscape topics that impact CSP reporting and tools, staying updated with technological advancements.
• Collaborate with Regional Centers to define their reporting needs, validate data outputs, and adopt training standards.
• Coordinate and facilitate RC training set-up, ensuring effective knowledge transfer and skill development.
• Monitor and improve data ecosystem reliability by tracking the number of reporting cycles completed without issues.
• Ensure PRIME data quality and implement system governance measures to maintain data integrity.
• Provide support and guidance to team members, fostering a collaborative and productive work environment.