Senior Engineer

General Motors

Manufacturing Data Analytics Engineer collaborating with global teams to drive measurable results through data analytics in manufacturing. Utilizing data-driven insights to improve manufacturing processes and outcomes.

Posted 6/9/2026full-timeBengaluru • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudIoTPythonSQL

About the role

Key responsibilities & impact

Collaborate with plant teams, SMEs, IT departments, and the analytics community to capture, prioritize, and document data analytics requirements, driving measurable results.
Extract data using existing IoT solutions and big data sources, conduct thorough analysis, perform testing, and validate outcomes.
Analyze datasets to identify trends and patterns, interpret and communicate insights to various teams and leaders to enhance and streamline processes.
Apply manufacturing domain knowledge and IoT knowledge to develop proof of concepts to address complex manufacturing challenges.
Propose solutions and strategies to business challenges that drive significant impact.
Monitor the health of data collection pipelines, report issues, and follow up with responsible teams.
Write user stories and frameworks for the IT development team to productize the self-developed solutions.
Present complex information through data visualization techniques.
Provide training and guidance to business partners on data analysis methodologies, reporting, and tools.

Requirements

What you’ll need

Masters / Bachelor's Degree in Automotive technology, Mathematics, Statistics, Computer Science, or information technology.
4-10 years of experience in any Automotive company or Data Analytics environment.
Proficient in Python (preferred) or any object-oriented programming languages.
Expert in data analysis, including identifying patterns, extracting valuable insights, and providing data-driven recommendations to support decision-making.
Proficient in applying statistical techniques, utilizing analytical tools, and AI/ML/GenAI for given business problem.
Experienced in working with data pipelines, PowerBI, SQL queries, Git, Databricks, Azure cloud services, and DevOps/ MLOps / LLMOps.
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.
Proficiency 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.
Readiness to travel across regions as necessary for project implementation.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythondata analysisstatistical techniquesAIMLGenAIdata pipelinesSQLdata visualizationobject-oriented programming

Soft Skills

collaborationproblem-solvingproject managementadaptabilityorganizational skillsplanningprioritizationcreativityprocess-oriented mindsetcommunication

Certifications

Master's DegreeBachelor's Degree