Senior BI & Data Analytics Consultant

Project overview

Westhouse is one of the leading recruitment companies for the placement of highly qualified specialists from the entire IT lifecycle and engineering sector.

For our client, we are currently looking for a

Senior BI & Data Analytics Consultant

Framework Information

Reference:180468

Responsibilities

Interested?

Interested? We look forward to receiving your meaningful CV in electronic form.

Your contact person:

Medine Kurt

*@*.com

*

• MUST criteria:
• Min. 5 years of comprehensive experience in conducting complex data analyses with Python, including preparation and presentation of results for different target groups.
• Min. 5 years of comprehensive practical experience in the conception, development, and maintenance of Power BI reports, including the use of DAX for KPIs and calculation logic.
• Sound experience in the creation, management, and optimization of Power BI
• Comprehensive practical experience in the use of SQL, min. 5 years.
• SHOULD criteria
• Experience in the preparation and analysis of data from signaling and control technology in railway transport from at least one relevant project.
• Experience in the analysis of railway operational data from at least one relevant project.

Project details

15 PT Frankfurt am Main/ 25 PT Remote

Start Date:02.11.2026

Working Hours:Full-time 40 PT 2026

2 months

Languages:German, English

Your Qualifications

• Development of occasion-related complex data analyses using Python, Python Polars, and SQL.
• Conception, development, and maintenance of interactive Power BI reports to support business and strategic decision-making processes.
• Implementation of user-friendly, performant, and maintainable reports, considering best practices in the Power BI environment.
• Development, configuration, and maintenance of Power BI Dataflows for central data preparation and harmonization.
• Implementation of reusable transformation logic using Power Query.
• Ensuring consistent data models.
• Optimization of loading and refresh processes.
• Connection and use of cloud-based data sources, especially AWS Athena, via suitable connectors.
• Analysis and querying of data from data lakes (e.g., based on Amazon S3).
• Ensuring efficient and performant data querying.
• Creation and optimization of semantic data models for analytical purposes.
• Definition of measures, KPIs, and calculations using DAX.
• Consideration of performance, reusability, and business logic in modeling.
• Ensuring data quality through plausibility checks, validations, and error analyses.
• Monitoring of data updates.
• Identification of deviations.
• Continuous improvement of data processes in close coordination with the business departments.
• Implementation of authorization and access concepts in Power BI, especially using Row-Level Security (RLS).
• Implementation of IT security guidelines, regulatory requirements (compliance),
• Customer's operational guidelines, and programming guidelines.
• Ensuring data privacy and data security in data processing.
• Start: 2026-11
• Duration: 2 Monate
• Location: DE
• Languages: German