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.

• 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

• 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

• 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.