Requirement for Data Analytics

Job Description

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1. Good knowledge in development of automotive systems: Powertrain (Conventional, full electric / hybrids -HEVs & BEVs), HVAC systems, and energy recuperation systems / technologies.
2. Technical expertise in measurement & data analysis of different homologation cycles & Vehicle Components. Hands On experience in Automotive Testing & Calibration would be an added advantage.
3. Good knowledge in (Hybrid) powertrain systems Low Voltage and High Voltage Powernet supply, Combustion/Electric Engine, auxiliary systems etc. Good communication and ability to handle and/or interact with measurement test teams is necessary.
4. Good hands-on experience in Matlab Signal Processing Toolbox or any other similar software like DIADem or Vector CANape or INCA or Python. Knowledge of automation /scripting will be advantageous.
5. Ability to interpret vehicle measurement data and provide engineering insights / conclusions is essential. Develop analytical methods in-house tools/scripts to analyze & compare different measurement datasets per project requirements.
6. Knowledge of AI/ML techniques / algorithms and software would an added advantage like Python / Matlab to modify dataset per requirements and setting standardized process.
7. Good knowledge of statistical methods used in signal analysis and processing would be added advantage.
8. Knowledge of cloud computing & Storage. Handling big Data would be added advantage.
9. The Candidate should be able to integrate, transform & consolidate data from various structured & unstructured data systems into planned structures that are suitable for building analytics solutions.
10. Excellent interpersonal and communication skills. German language skills would be advantageous.
11. Essential and important soft skills: - ability to work seamlessly across the functional teams, good team player, self-motivated, collaborative, open minded to co-create with teams for best outcome.
Education: BE, ME or M.Tech in Aeronautics, Automobile, Mechanical, Mechatronics, Data Science with Automotive domain knowledge Experience: Relevant professional experience of as per Job description for 2-8 yrs., *
1. Good knowledge in development of automotive systems: Powertrain (Conventional, full electric / hybrids -HEVs & BEVs), HVAC systems, and energy recuperation systems / technologies.
2. Technical expertise in measurement & data analysis of different homologation cycles & Vehicle Components. Hands On experience in Automotive Testing & Calibration would be an added advantage.
3. Good knowledge in (Hybrid) powertrain systems Low Voltage and High Voltage Powernet supply, Combustion/Electric Engine, auxiliary systems etc. Good communication and ability to handle and/or interact with measurement test teams is necessary.
4. Good hands-on experience in Matlab Signal Processing Toolbox or any other similar software like DIADem or Vector CANape or INCA or Python. Knowledge of automation /scripting will be advantageous.
5. Ability to interpret vehicle measurement data and provide engineering insights / conclusions is essential. Develop analytical methods in-house tools/scripts to analyze & compare different measurement datasets per project requirements.
6. Knowledge of AI/ML techniques / algorithms and software would an added advantage like Python / Matlab to modify dataset per requirements and setting standardized process.
7. Good knowledge of statistical methods used in signal analysis and processing would be added advantage.
8. Knowledge of cloud computing & Storage. Handling big Data would be added advantage.
9. The Candidate should be able to integrate, transform & consolidate data from various structured & unstructured data systems into planned structures that are suitable for building analytics solutions.
10. Excellent interpersonal and communication skills. German language skills would be advantageous.
11. Essential and important soft skills: - ability to work seamlessly across the functional teams, good team player, self-motivated, collaborative, open minded to co-create with teams for best outcome.
Education: BE, ME or M.Tech in Aeronautics, Automobile, Mechanical, Mechatronics, Data Science with Automotive domain knowledge Experience: Relevant professional experience of as per Job description for 2-8 yrs.

Keyskills :
big datadata sciencedata analysiscloud computinggerman languagelanguage skillshvaccloud