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 <ul><li style="font-size:14px;">Contribute to process improvements in reporting and analytics workflows</li><li style="font-family:Arial , Helvetica , sans-serif;font-size:14px;color:rgb(0,0,0);">Support the creation and maintenance of dashboards in Power BI and Google Looker Studio</li><li style="font-family:Arial , Helvetica , sans-serif;font-size:14px;color:rgb(0,0,0);">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</li><li style="font-family:Arial , Helvetica , sans-serif;font-size:14px;color:rgb(0,0,0);">Support data integration from operational databases or APIs to the data warehouse</li><li style="font-family:Arial , Helvetica , sans-serif;font-size:14px;color:rgb(0,0,0);">Monitor and validate data pipelines (e.g., BigQuery, dbt, Stitch) to ensure accuracy and consistency</li><li style="font-family:Arial , Helvetica , sans-serif;font-size:14px;color:rgb(0,0,0);">Conduct ad-hoc analyses to support the Marketing, Sales, Operations, Tech, and Finance teams</li><li style="font-family:Arial , Helvetica , sans-serif;font-size:14px;color:rgb(0,0,0);">Document key metrics, definitions, and dashboards in Confluence and Git</li></ul> About You <ul><li style="font-family:Arial , Helvetica , sans-serif;font-size:14px;color:rgb(0,0,0);">Enrolled student (Bachelor’s or Master’s) in Data Science, Computer Science, Statistics, Business, or a related field</li><li style="font-family:Arial , Helvetica , sans-serif;font-size:14px;color:rgb(0,0,0);">Proficient with Google Sheets or Excel</li><li style="font-family:Arial , Helvetica , sans-serif;font-size:14px;color:rgb(0,0,0);">Basic experience with SQL, Python, and at least one data visualization tool (Power BI, Looker Studio, or Tableau)</li><li style="font-family:Arial , Helvetica , sans-serif;font-size:14px;color:rgb(0,0,0);">Basic experience with data warehouses (e.g., Google Cloud Platform, Snowflake, PostgreSQL)</li><li style="font-family:Arial , Helvetica , sans-serif;font-size:14px;color:rgb(0,0,0);">Eager to learn and develop solutions for data modeling, ETL processes</li><li style="font-family:Arial , Helvetica , sans-serif;font-size:14px;color:rgb(0,0,0);">Strong analytical and problem-solving skills with a high attention to detail</li><li style="font-family:Arial , Helvetica , sans-serif;font-size:14px;color:rgb(0,0,0);">Basic experience with one or more of the following operational systems is a plus: HubSpot, Google Ads, LinkedIn, Jira, Salesforce, SAP, Weclapp</li><li style="font-family:Arial , Helvetica , sans-serif;font-size:14px;color:rgb(0,0,0);">Basic experience with one of automation tools (e.g., Python Selenium, Zapier, Make, n8n) or API integrations is a plus</li><li style="font-family:Arial , Helvetica , sans-serif;font-size:14px;color:rgb(0,0,0);">Strong communication skills – able to translate technical insights into clear, business-relevant language</li><li style="font-family:Arial , Helvetica , sans-serif;font-size:14px;color:rgb(0,0,0);">Fluent in English</li></ul><h3 style="line-height:1.3800000000000001;margin-left:4.5pt;margin-top:12pt;margin-bottom:12pt;">How You Like to Work</h3><ul style="margin-top:0;margin-bottom:0;"><li style="list-style-type:disc;font-size:14px;font-family:Arial , Helvetica , sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">You are curious, hands-on, and eager to learn in a real business environment</li><li style="list-style-type:disc;font-size:14px;font-family:Arial , Helvetica , sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">You work in a structured and reliable way and follow through on tasks you take on</li><li style="list-style-type:disc;font-size:14px;font-family:Arial , Helvetica , sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">You ask good questions, seek feedback, and are open to guidance and coaching</li><li style="list-style-type:disc;font-size:14px;font-family:Arial , Helvetica , sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">You enjoy working with data, spotting patterns, and improving things step by step</li><li style="list-style-type:disc;font-size:14px;font-family:Arial , Helvetica , sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">You communicate clearly and are comfortable explaining your findings in simple terms</li><li style="list-style-type:disc;font-size:14px;font-family:Arial , Helvetica , sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">You are proactive in flagging issues or inconsistencies in data</li><li style="list-style-type:disc;font-size:14px;font-family:Arial , Helvetica , sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">You value teamwork and contribute positively to a collaborative atmosphere</li></ul> Why us? <ul><li style="font-size:14px;">Hands-on experience with modern data tools such as GCP, BigQuery, dbt, Power BI, and Looker</li><li style="color:rgb(0,0,0);font-size:14px;">Exposure to various operational systems and automation tools like Jira, HubSpot, Zapier, Make</li><li style="color:rgb(0,0,0);font-size:14px;">Opportunity to work on real business cases in a fast-growing EV charging technology company</li><li style="color:rgb(0,0,0);font-size:14px;">Freedom to propose ideas, shape data architecture, and manage projects end-to-end</li><li style="color:rgb(0,0,0);font-size:14px;">Flexible working hours tailored to your university schedule</li><li style="color:rgb(0,0,0);font-size:14px;">A collaborative and international team culture</li></ul>If you enjoy growing into more responsibility over time, this role offers the opportunity to gradually take on more complex analytical tasks.

EcoG connects and enables monetizing charging infrastructure with an API-software platform. EcoG is the first cloud-based platform to enable shared revenue streams and value-added services in fast charging. With EcoG a personalized and customized EV fast charging experience is easy to implement and operate.


Working Student - Data Analytics (m/f/d)

About the Role We are looking for a&nbsp;Working Student - Data Analytics&nbsp;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 <ul><li>Contribute to&nbsp;process improvements&nbsp;in reporting and analytics workflows</li><li>Support the creation and maintenance of dashboards in&nbsp;Power BI&nbsp;and&nbsp;Google Looker Studio</li><li>Collaborate with cross-functional teams to gather business requirements, then retrieve and prepare data from the data warehouse – performing data cleaning and transformations using&nbsp;SQL, Excel, or Python</li><li>Support data integration from operational databases or&nbsp;APIs&nbsp;to the data warehouse</li><li>Monitor and validate data pipelines (e.g.,&nbsp;BigQuery, dbt, Stitch) to ensure accuracy and consistency</li><li>Conduct&nbsp;ad-hoc analyses&nbsp;to support the&nbsp;Marketing, Sales, Operations, Tech, and Finance&nbsp;teams</li><li>Document key metrics, definitions, and dashboards in&nbsp;Confluence&nbsp;and&nbsp;Git</li></ul> About You <ul><li>Enrolled student (Bachelor’s or Master’s) in Data Science, Computer Science, Statistics, Business, or a related field</li><li>Proficient with Google Sheets or Excel</li><li>Basic experience with SQL, Python, and at least one data visualization tool (Power BI, Looker Studio, or Tableau)</li><li>Basic experience with data warehouses (e.g., Google Cloud Platform, Snowflake, PostgreSQL)</li><li>Eager to learn and develop solutions for data modeling, ETL processes</li><li>Strong analytical and problem-solving skills with a high attention to detail</li><li>Basic experience with one or more of the following operational systems is a plus: HubSpot, Google Ads, LinkedIn, Jira, Salesforce, SAP, Weclapp</li><li>Basic experience with one of automation tools (e.g., Python Selenium, Zapier, Make, n8n) or API integrations is a plus</li><li>Strong communication skills – able to translate technical insights into clear, business-relevant language</li><li>Fluent in English</li></ul><h3>How You Like to Work</h3><ul><li>You are curious, hands-on, and eager to learn in a real business environment</li><li>You work in a structured and reliable way and follow through on tasks you take on</li><li>You ask good questions, seek feedback, and are open to guidance and coaching</li><li>You enjoy working with data, spotting patterns, and improving things step by step</li><li>You communicate clearly and are comfortable explaining your findings in simple terms</li><li>You are proactive in flagging issues or inconsistencies in data</li><li>You value teamwork and contribute positively to a collaborative atmosphere</li></ul> Why us? <ul><li>Hands-on experience with modern data tools such as&nbsp;GCP, BigQuery, dbt, Power BI, and Looker</li><li>Exposure to various operational systems and automation tools like&nbsp;Jira, HubSpot,&nbsp;Zapier, Make</li><li>Opportunity to work on real business cases in a&nbsp;fast-growing EV charging technology company</li><li>Freedom to propose ideas, shape data architecture, and manage projects end-to-end</li><li>Flexible working hours&nbsp;tailored to your university schedule</li><li>A&nbsp;collaborative and international&nbsp;team culture</li></ul>If you enjoy growing into more responsibility over time, this role offers the opportunity to gradually take on more complex analytical tasks.

Working Student - Data Analytics (m/f/d)New

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EcoG

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