rms GmbH logo

Data Analyst / Data Scientist (m/w/d)

rms GmbH

Overview

Join rms GmbH, a leading consultancy in the public transportation sector, as a Data Analyst / Data Scientist at our Frankfurt office. This role is crucial for enhancing public transportation through innovative data-driven solutions.

Responsibilities

  • Develop analysis concepts for public transportation.
  • Collaborate closely with experts to transform, analyze, and visualize data.
  • Prepare and integrate data into our data warehouse and develop data pipelines.
  • Create and implement dashboards and reports using tools like PowerBI and Kibana.
  • Contribute to the advancement of the Data Analytics field within the company.

Qualifications

  • Degree in Computer Science, Natural Sciences, Geography, or related fields.
  • Interest in public transportation and its improvement through data analytics.
  • Experience in data analysis, preferably with Python, and strong programming skills.
  • Proficiency in relational database systems and SQL.
  • Familiarity with Big Data technologies (e.g., Elasticsearch, Hadoop, Spark, Kafka) is a plus.
  • Experience in developing dashboards and reporting (e.g., PowerBI, Kibana).
  • Knowledge of GIS and Web-GIS is advantageous.

Benefits

  • Engage in exciting tasks within a highly motivated team at a prime location in Frankfurt.
  • Excellent company culture promoting diversity and continuous education.
  • Long-term collaboration with personal development opportunities in a growing company.
  • Creative freedom for your ideas and quick decision-making processes in a flat hierarchy.
  • Work-life balance with flexible working hours and remote work options.
  • Additional benefits including pension scheme, health insurance, job ticket, bike leasing, and employee events.

How to Apply

If you are passionate about public transportation and data-driven solutions, we would love to hear from you. Apply now to become a part of our innovative team and contribute to the future of mobility.

Benefits
Extracted with AI

  • Flexible working hours
  • Remote work options
  • Pension scheme
  • Health insurance
  • Employee events
  • Training and development opportunities

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