Application Guide
How to Apply for Team Lead – Data & Analytics (India) (F/M/D)
at Freudenberg
🏢 About Freudenberg
Freudenberg is pioneering sustainable heavy-duty e-mobility by developing tailor-made emission-neutral energy systems, positioning itself at the forefront of the green transportation revolution. Working here means contributing to tangible environmental impact through innovative technology in a global industrial setting with strong German engineering heritage.
About This Role
This Team Lead role is pivotal in building and mentoring India's Data & Analytics team while bridging global business users with the Shared Service Centre, ensuring reliable data services that power sustainable mobility solutions. You'll directly influence how data drives decisions in emission-neutral energy systems through hands-on management of data engineering, BI, AI platforms, and business process automation.
💡 A Day in the Life
Your day typically starts with reviewing service dashboards to ensure data platform reliability, then moves to mentoring team members on complex data engineering challenges while coordinating with German colleagues on global requirements. Afternoons involve identifying automation opportunities in business processes and preparing the team for scaling into project delivery for sustainable mobility solutions.
🚀 Application Tools
🎯 Who Freudenberg Is Looking For
- Has 8+ years in Data & Analytics with 2-3 years leading teams in service delivery environments, specifically with ITIL framework experience for managing first/second level support operations
- Possesses deep technical expertise in Microsoft ecosystem (Fabric, Power Platform) for implementing data management, Power Apps, RPA, and AI platform solutions
- Demonstrates proven ability to function as a bridge between global stakeholders and delivery teams, with experience in requirements engineering and cross-cultural communication
- Shows track record of identifying automation opportunities and preparing teams for scaling into project delivery within business intelligence or process automation domains
📝 Tips for Applying to Freudenberg
Quantify your experience with specific metrics around team leadership (team size, retention rates), service availability percentages, and automation impact (e.g., 'reduced manual processes by X% through RPA implementation')
Highlight any experience with sustainable/energy/mobility sectors or German/global corporate environments to show cultural fit with Freudenberg's industrial focus
Create a skills matrix aligning your technical expertise directly with their listed services: Data Management Services (data engineering, BI, MDM) and AI & Business Process Automation Services (Power Apps, RPA, Copilot Studio)
Include examples of bridging global teams - mention specific tools/methodologies used for requirements engineering and communication across time zones
Reference Fabric and Power Platform explicitly in your technical skills section, as these are specifically mentioned in the truncated requirements
✉️ What to Emphasize in Your Cover Letter
['Your experience building resilient Data & Analytics teams with first/second level support structures and how you ensured service reliability', 'Specific examples of managing service delivery across both Data Management Services AND AI & Business Process Automation Services (not just one area)', "How you've functioned as a bridge between global business users and delivery teams, with emphasis on requirements engineering and alignment", 'Your approach to identifying automation/standardization opportunities and preparing teams for scaling into project delivery']
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Freudenberg's specific e-mobility projects and emission-neutral energy systems - understand their technical approach to sustainable transportation
- → The company's German corporate culture and how Shared Service Centres operate within their global structure
- → Recent news about Freudenberg's investments in India and their data/AI initiatives in the mobility sector
- → How heavy-duty e-mobility differs from consumer electric vehicles and what data challenges this sector faces
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Presenting as purely a technical individual contributor without demonstrating team leadership and service delivery management experience
- Focusing only on data science/AI without showing equal competency in data engineering, BI, and business process automation
- Using generic leadership examples without specific metrics around team building, service reliability, or automation impact
📅 Application Timeline
This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.
Typical hiring timeline:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!