Working Student (m/f/d) - Data Analyst
Eching, Germany
DENSO
You can see Home. DENSO continues to develop technologies that support a better life for all.Company Description
As an automotive supplier, DENSO is leading in developing and providing components and systems for heating, air conditioning, motor cooling, exhaust gas aftertreatment, automotive electrics and electronics and instrumentation.
Job Description
We are looking for a Working Student (m/f/d) - Data Analyst to support our Carbon Neutral Planning department located in Eching, near Munich at the earliest possible date. This position offers an excellent opportunity for a current student to gain hands-on experience in data analysis while contributing to meaningful projects on our journey to Net Zero. Working closely with sustainability and R&D team of engineers within our organization and contributing to our carbon reduction efforts.
Assist in collecting, cleaning, and organizing large datasets from various sources supporting Carbon Neutral Certification and Lifecycle Assessment
Create data visualizations and reports to communicate findings effectively
Collaborate with cross-functional teams to support data-driven decision-making
Contribute to the development and maintenance of data analysis processes
Participate in ongoing data quality assurance efforts
Support the implementation of data analytics tools and techniques
Support the initiative to build a requirements tracking framework
Setting up local data pipelines and database systems for internal demo purposes
Independently work on API deployment for populating the stored data from various sources
Strong preference for the candidate who is interested in training cross-technology experts and sharing best practices with other members
Qualifications
Currently enrolled in a bachelor's or master's degree program in Statistics, (business-) informatics, data & business analytics or a comparable qualification
Proficiency in data analysis tools such as Excel, SQL, Python, or R and the scientific computing stack (Numpy, Pandas etc.)
An inclination towards software for sustainability topics would be an advantage
Strong analytical skills
Experience with statistical analysis and data visualization techniques
Excellent attention to detail and organizational skills
Strong written and verbal communication skills in English (business language is English)
Intercultural openness
Previous internship or project experience in data analysis is a plus
Ability to work part-time alongside your studies
Familiarity with data governance standards for interoperability and data storage
GitHub workflow for project management and release planning
Additional Information
- International company with various development opportunities
- Open and diverse corporate culture
- Modern offices, canteen onsite and free parking
- Employee benefits, such as free employee advice assistance hotline and much more.
- Company events
It has come to our attention that various individuals have contacted people offering false employment opportunities with DENSO. Such scams are fraudulent and intended to steal from the victims.
By making you aware of this, we hope to avoid and ultimately stop victims from falling for this scam. Please do not provide any personal or financial information and do not send any money to anyone you suspect of recruitment fraud.
If you are contacted by someone whom you suspect may not be appropriately representing DENSO, please email: EU_DIEU_TALENTACQUISITION@eu.denso.com. Please forward the original email that you received that includes the original subject line and complete header information.
Do not send CVs or vacancy applications to that email address as it will not be reviewed or considered. If you wish to apply for a job, please submit your application for an open position to https://careers.smartrecruiters.com/DENSOINTERNATIONALEUROPE
Tags: APIs Business Analytics Data analysis Data Analytics Data governance Data pipelines Data quality Data visualization Excel GitHub NumPy Pandas Pipelines Python R R&D SQL Statistics
Perks/benefits: Career development Team events
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