Data Analyst
Workplace: Göteborg, Sweden
Expires: June 30, 2025
We are searching for a Data Analyst in Gothenburg, Sweden to work full-time with immediate start. This permanent position offers a salary based on experience.
Main requirements:
  • Master’s degree in engineering
  • Proficient in Tableau, VB.NET, Python, and R for data analysis and visualization
  • Skilled in building interactive, user-friendly dashboards
  • Knowledge of best practices in data visualization and presentation
  • Understanding of Reliability, Availability, and Maintainability (RAM) principles
  • Familiarity with software architecture and IT systems integration
  • Experienced in statistical analysis and data modeling
  • Strong analytical skills to interpret large datasets and identify trends or outliers
  • Ability to clean and transform raw data for analysis
  • Good understanding of railway operations and engineering project workflows
  • Fluent in English, both written and spoken
Responsibilities:
  • Share and apply best practices across projects to ensure alignment with global standards
  • Analyze fleet operations and maintenance data to support performance improvements
  • Develop and maintain software tools for fleet data management, including dashboards and reports using Tableau and VB.NET
  • Create custom business intelligence solutions with interactive dashboards and visualizations tailored for fleet management
  • Support the rollout of reliability processes, tools, and training programs
  • Lead initiatives to improve asset performance and enhance Reliability, Availability, and Maintainability (RAM)
  • Provide first-level support for Train Health Management tools and collaborate with central data teams on real-time data integration
Required hard skills:
  • Tableau
  • VB.NET
  • Python
  • R
  • Statistical analysis
  • Data modeling
  • Dashboard development
  • Software architecture
  • Systems integration
Recommended hard skills:
  • Business intelligence solutions
  • Data visualization best practices
Soft skills:
  • Analytical thinking
  • Trend and anomaly detection in data
  • Effective communication in English
Coding languages:
  • VB.NET
  • Python
  • R
Natural languages:
  • English (Proficient)
Cultural skills:
  • Understanding of railway operations and engineering project workflows
  • Adherence to global standards and best practices
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