> Markdown version of [/jobs/ext/4654599-data-analyst](https://www.wearedevelopers.com/jobs/ext/4654599-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Phare Consulting Group - **Location:** Hamburg, Germany (Remote available) - **Contract:** Internship / Graduate position - **Skills:** Microsoft Excel, Databases, Customer Data Management, Python (Programming Language), Pivot Tables, Power BI, Standard Sql, SQL Databases, Tableau (Software), Information Technology - **Published:** November 10, 2026 - **Apply:** https://www.careerjet.de/jobad/de76d9372af785f43ac16b68dfbff96deb ## About the Role * A degree in economics, statistics, computer science or a related field * SQL * Excel, including pivot tables * Some experience analysing business data, from a job, an internship or a thesis Also useful: Python or R, Power BI or Tableau, and pricing, sales or customer data., You get a permanent, full-time contract; work from home anywhere in Germany; 30 days of holiday plus public holidays; an employer contribution to a company pension (bAV); a yearly budget for courses, certifications and books; your laptop and home desk setup; and flexible hours around a few shared core hours. ## Description Several German clients have handed us years of sales and pricing data so we can test their next price changes. Before anyone can trust a model built on it, someone close to those clients has to clean it, check it and say what is missing. That's the Data Analyst we're hiring in Germany. Full-time, remote from anywhere in Germany. Our leadership is in Miami, six hours behind, so a few calls land in your afternoon. Your first months First month: You load a client's sales, price and customer data into our analysis database and list every gap and error you find. By month three: You agree fixes with the client, build price, volume and margin analyses in SQL and Python, and put the results into Power BI dashboards the project team actually uses. Every source and every step is documented. By month six: You present findings to the project team yourself.