Working Student - Data Analytics (m/f/d)
About the Role
We are looking for a Working Student - Data Analytics to support our data team in building and maintaining an end-to-end data pipeline that drives insights and strategic decisions for the Commercial Team.
You’ll collaborate closely with our Data Analyst and Engineer, as well as cross-functional teams such as Marketing, Sales, Operations, Tech, and Finance – collecting, cleaning, transforming, and visualizing data from multiple source systems including HubSpot, Jira, Weclapp, etc.
This position is ideal for a student who loves numbers, communicates clearly, enjoys translating complex technical topics into simple insights, and is passionate about data visualization and problem-solving in a fast-paced, technology-driven environment.
What you can expect
Contribute to process improvements in reporting and analytics workflows
Support the creation and maintenance of dashboards in Power BI and Google Looker Studio
Collaborate with cross-functional teams to gather business requirements, then retrieve and prepare data from the data warehouse – performing data cleaning and transformations using SQL, Excel, or Python
Support data integration from operational databases or APIs to the data warehouse
Monitor and validate data pipelines (e.g., BigQuery, dbt, Stitch ) to ensure accuracy and consistency
Conduct ad-hoc analyses to support the Marketing, Sales, Operations, Tech, and Finance teams
Document key metrics, definitions, and dashboards in Confluence and Git
About You
Enrolled student (Bachelor’s or Master’s) in Data Science, Computer Science, Statistics, Business, or a related field
Proficient with Google Sheets or Excel
Basic experience with SQL, Python, and at least one data visualization tool (Power BI, Looker Studio, or Tableau)
Basic experience with data warehouses (e.g., Google Cloud Platform, Snowflake, PostgreSQL)
Eager to learn and develop solutions for data modeling, ETL processes
Strong analytical and problem-solving skills with a high attention to detail
Basic experience with one or more of the following operational systems is a plus: HubSpot, Google Ads, LinkedIn, Jira, Salesforce, SAP, Weclapp
Basic experience with one of automation tools (e.g., Python Selenium, Zapier, Make, n8n) or API integrations is a plus
Strong communication skills – able to translate technical insights into clear, business-relevant language
Fluent in English
How You Like to Work
You are curious, hands-on, and eager to learn in a real business environment
You work in a structured and reliable way and follow through on tasks you take on
You ask good questions, seek feedback, and are open to guidance and coaching
You enjoy working with data, spotting patterns, and improving things step by step
You communicate clearly and are comfortable explaining your findings in simple terms
You are proactive in flagging issues or inconsistencies in data
You value teamwork and contribute positively to a collaborative atmosphere
Why us?
Hands-on experience with modern data tools such as GCP, BigQuery, dbt, Power BI, and Looker
Exposure to various operational systems and automation tools like Jira, HubSpot , Zapier, Make
Opportunity to work on real business cases in a fast-growing EV charging technology company
Freedom to propose ideas, shape data architecture, and manage projects end-to-end
Flexible working hours tailored to your university schedule
A collaborative and international team culture
If you enjoy growing into more responsibility over time, this role offers the opportunity to gradually take on more complex analytical tasks.
About us
EcoG, headquartered in Munich, is a global IP and tech company working on the rapid expansion of sustainable charging infrastructure for electric vehicles. With around 60 employees, it provides charge controllers, reference designs, and software, enabling companies to bring products and services to market quickly and scale profitably. EcoG is the market leader in Europe, holding more than 15% market share, with a strong footprint in India and North America. Last year, EcoG grew four times faster than the market, serving industrial giants such as Siemens or one of the world’s largest service station equipment suppliers. The company continues to expand in 2025, with plans to invest approx. $15M in its North American HQ.
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