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Collaborating on innovation challenges, interacting with Industry leaders, attending cross-functional networking events and volunteering for community service activities.
Job Responsibility
Collaborate with plant teams, SMEs, IT departments, and the analytics community to capture, prioritize, and document data analytics requirements, driving measurable results
Apply knowledge to develop proof of concepts to address challenges
Ability to learn quickly and adapt to new challenges
Outstanding project management skills within an agile environment
Demonstrates creativity in problem-solving, thinking dynamically and beyond industry norms, and adapting swiftly to new technical areas
Requirements
Current 3rd Year or Final Year student of Masters / Degree in Automotive technology, Mathematics, Statistics, Computer Science, or information technology
Knowledge in Python or any object-oriented programming languages
Knowledge in data analysis, including identifying patterns, extracting valuable insights, and providing data-driven recommendations to support decision-making
Knowledge in applying statistical techniques, utilizing analytical tools, and AI/ML/GenAI for given business problem
Knowledge in working with data pipelines, PowerBI, SQL queries, Git, Databricks
Familiarity with IoT data collection methods and solutions
Familiarity with automotive production processes, industrial automation, throughput analysis, and industrial engineering is considered an added advantage
Ability to learn quickly and adapt to new challenges
Exceptional collaboration skills and the ability to build strong relationships
Process-oriented mindset with a focus on efficiency and effectiveness
Outstanding project management skills within an agile environment
Demonstrates creativity in problem-solving, thinking dynamically and beyond industry norms, and adapting swiftly to new technical areas
Nice to have
Strong in collaborating with intercultural, multi-disciplinary, and remote teams to achieve functional objectives
Strong organizational, planning, and prioritization skills, with a meticulous approach to project execution