Required skills
- Data Analysis
- Data Science
- PostgreSQL
- Python
- Power BI
- SQL
- AWS
- ETL
- Data Cleaning
- Data Visualization
- Dashboards
- KPI Reports
Languages: German
Job description
Seeking a Data Analyst/Data Scientist with experience in PostgreSQL, Python, and Power BI for a project in the transport and logistics sector. The role involves data analysis, ETL, data cleaning, visualizations, dashboards, and KPI reports.
Project overview
Data Analyst / Data Scientist (PostgreSQL, Python, Power BI) 90% remote
For a project in transport and logistics, we are looking for a Data Analyst / Data Scientist with experience in PostgreSQL, Python, and Power BI.
Project Information
- Location: Frankfurt am Main / 90% Remote
- Start: 30.11.2026
- Duration: 30.11.2026 – 31.12.2030
- Industry: Transport and Logistics
Responsibilities
Conception and development of data analyses, ETL and data cleaning measures, visualizations, dashboards and KPI reports, as well as the analysis of patterns, trends, and forecasts with PostgreSQL, Python, Power BI, SQL, AWS, and SAFe in the O2C environment.
Must-Have Requirements
Should-Have Requirements
Technologies & Methods
PostgreSQL, Python, Power BI, SQL, Machine Learning, Time Series Analysis, AWS, Data Engineering, SAFe, AI-supported tools, Timetable, sales, or operational data in the transport & logistics sector
The team at mund consulting looks forward to receiving your application with CV & hourly rate and will gladly support you in the further process.
Best regards
The Recruiting Team
*@*.de
- Experience in data-driven analysis in Business Intelligence or Data Science (from 3 years)
- Experience with SQL, especially PostgreSQL, for querying and evaluating relational databases (from 3 years)
- Experience in programming data analyses with Python or R (from 3 years)
- Experience in data visualization and preparation with Power BI (or a comparable BI tool) (from 3 years)
- Demonstrable implementation of predictive analytics or machine learning solutions (e.g., time series analysis) in a productive or business context
- Experience with time series analysis (model- and data-driven methods) for sales/revenue forecasting (from 3 years)
- Experience with databases in cloud environments in AWS (from 3 years)
- Experience with data engineering processes such as building and automating data pipelines (from 3 years)
- Experience working with the agile framework SAFe (incl. PI Planning / ART level) (up to 3 years)
- Experience with AI-supported tools in the analysis/development environment (up to 3 years)
- Experience with timetable, sales, or operational data in the transport & logistics sector (up to 3 years)
Project details
- Start: 2026-11
- Duration: 50 Monate
- Remote: hybrid
- Location: Frankfurt am Main, Deutschland, DE
- Languages: German
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