Data Analysis Engineer

Daimler Truck AG

Engineer managing data-centric initiatives in automotive systems at Daimler Truck Innovation Center India. Leading projects and mentoring team members while ensuring data integrity and compliance.

Posted 8/3/2026full-timeBengaluru • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing engineering requirements and delivering high-quality automotive solutions through effective collaboration and analytical problem-solving. Proficient in developing ML models and utilizing data visualization tools to enhance data reliability and insights.

Highest-signal resume keywords

Automotive Systems ExpertiseMachine Learning ApplicationPython ScriptingData Visualization with PowerBIDatabricks for Data Processing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Manipulation with PySparkHigh Voltage System KnowledgeEngine and Driveline UnderstandingAnalytical Solutions ImplementationMetrics Development for Data Reliability

Soft Skills

Cross-Functional CollaborationProblem-Solving AbilityEffective Communication

Tools & Technologies

PowerBIDatabricksVersion Control Systems

Certifications & Qualifications

B.E in Mechanical EngineeringB.Tech in Electrical EngineeringM.E in Data Science (Preferred)M.Tech in Data Science (Preferred)

Industry Keywords

Automotive SolutionsEnd-to-End Project ManagementData Products OwnershipDocumentation and Version ControlPredictive and Perceptive Analysis

Tech Stack

Tools & technologies

CloudPySparkPython

About the role

Key responsibilities & impact

Manage engineering requirements, overseeing end-to-end project activities for efficient delivery.
Develop metrics to assess data reliability, maintaining the integrity of our automotive solutions.
Collaborate with cross-functional teams, translating business needs into technical requirements.
Stay updated with automotive system advancements, especially HV system, engine, driveline, and ATS functionality.
Ability to understand a problem statement and implement analytical solutions & techniques independently.
Develop ML model for predictive & perceptive analysis.
Enforce code version control best practices.
Conceptualize, design, and deliver high-quality solutions and insightful analysis.
Maintaining the complete documentation and version control for new releases.
End to end ownership of data products and analytics tasks.

Requirements

What you’ll need

Minimum qualification: B.E, B.Tech in Mechanical, Electrical, or Mechatronics.
Preferred: M.E, M.Tech in related fields of Data Science for advanced expertise.
Hands-on experience with automotive systems, especially High Voltage system, engine, driveline, and ATS.
Proficiency in scripting: Python, and PySpark for data manipulation.
Expertise in visualization: PowerBI
Experience with Databricks for cloud-based data processing and analysis.
Practical ML application experience for automotive use cases.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Daimler Truck AG Website LinkedIn All Job Openings 10,000+ employees Founded 2021 📦 Logistics 🚘 Automotive 🚗 Transport Logistics
Automotive
Transport Daimler Truck AG is one of the world's largest manufacturers of commercial vehicles. It has a global presence with over 40 production sites and more than 100,000 employees. Daimler Truck AG produces a wide range of products including light, medium, and heavy-duty trucks, city and intercity buses, coaches, and bus chassis. In addition to its vehicle manufacturing, Daimler Truck also offers tailored financial services to support its product offerings. The company is committed to innovation and sustainability, focusing on developing CO₂-neutral technologies and autonomous driving solutions. With a strong focus on digitalization and partnerships, Daimler Truck AG aims to enhance transportation through advanced technologies. Data Analysis Engineer 🔥 1 hour ago 🏢🏡 Bengaluru – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 📉 Data Analyst Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Manage engineering requirements, overseeing end-to-end project activities for efficient delivery.
Develop metrics to assess data reliability, maintaining the integrity of our automotive solutions.
Collaborate with cross-functional teams, translating business needs into technical requirements.
Stay updated with automotive system advancements, especially HV system, engine, driveline, and ATS functionality.
Ability to understand a problem statement and implement analytical solutions & techniques independently.
Develop ML model for predictive & perceptive analysis.
Enforce code version control best practices.
Conceptualize, design, and deliver high-quality solutions and insightful analysis.
Maintaining the complete documentation and version control for new releases.
End to end ownership of data products and analytics tasks. 🎯 Requirements
Minimum qualification: B.E, B.Tech in Mechanical, Electrical, or Mechatronics.
Preferred: M.E, M.Tech in related fields of Data Science for advanced expertise.
Hands-on experience with automotive systems, especially High Voltage system, engine, driveline, and ATS.
Proficiency in scripting: Python, and PySpark for data manipulation.
Expertise in visualization: PowerBI
Experience with Databricks for cloud-based data processing and analysis.
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