Working Student

About the RoleWe 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 expectContribute to process improvements in reporting and analytics workflowsSupport the creation and maintenance of dashboards in Power BI and Google Looker StudioCollaborate 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 PythonSupport data integration from operational databases or APIs to the data warehouseMonitor and validate data pipelines (e.g., BigQuery, dbt, Stitch) to ensure accuracy and consistencyConduct ad-hoc analyses to support the Marketing, Sales, Operations, Tech, and Finance teamsDocument key metrics, definitions, and dashboards in Confluence and GitAbout YouEnrolled student (Bachelor’s or Master’s) in Data Science, Computer Science, Statistics, Business, or a related fieldProficient with Google Sheets or ExcelBasic 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 processesStrong analytical and problem-solving skills with a high attention to detailBasic experience with one or more of the following operational systems is a plus: HubSpot, Google Ads, LinkedIn, Jira, Salesforce, SAP, WeclappBasic experience with one of automation tools (e.g., Python Selenium, Zapier, Make, n8n) or API integrations is a plusStrong communication skills – able to translate technical insights into clear, business-relevant languageFluent in EnglishHow You Like to WorkYou are curious, hands-on, and eager to learn in a real business environmentYou work in a structured and reliable way and follow through on tasks you take onYou ask good questions, seek feedback, and are open to guidance and coachingYou enjoy working with data, spotting patterns, and improving things step by stepYou communicate clearly and are comfortable explaining your findings in simple termsYou are proactive in flagging issues or inconsistencies in dataYou value teamwork and contribute positively to a collaborative atmosphereWhy us?Hands-on experience with modern data tools such as GCP, BigQuery, dbt, Power BI, and LookerExposure to various operational systems and automation tools like Jira, HubSpot, Zapier, MakeOpportunity to work on real business cases in a fast-growing EV charging technology companyFreedom to propose ideas, shape data architecture, and manage projects end-to-endFlexible working hours tailored to your university scheduleA collaborative and international team cultureIf you enjoy growing into more responsibility over time, this role offers the opportunity to gradually take on more complex analytical tasks.About usEcoG, 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.