Data Analyst

On Site Full TimeGothenburg, SwedenVolvo Group

Role Overview

As a Data Analyst with a Data Science mindset within the Project Management department of the Trucks Technology & Industrial division, your mission will go beyond traditional reporting. You will act as a data partner for project managers, helping them better understand, use, and trust data to support decision-making.

What You Will Do

Prepare, clean, and structure complex datasets to enable advanced analysis (Python, SQL), design and implement automated solutions to streamline processes and improve operational efficiency (RPA, Power Apps, Power Automate), develop impactful dashboards and storytelling tools that support decision-making (Power BI), and partner with project managers to translate business questions into data use cases and actionable insights.

Why It Might Be a Fit

You will thrive in dynamic environments, embrace new challenges and ambiguity, and take ownership of your own development and growth. With strong analytical skills, you take initiatives and drive tasks forward with determination while bringing fresh perspectives and innovative ideas to the team.

Requirements

  • Master’s degree in engineering, Computer Science, Data Analytics, Information Systems, Applied Mathematics, or related fields
  • Data analysis and visualization tools (Power BI or equivalent)
  • Programming and data manipulation skills using Python and SQL
  • Understanding data modelling, statistical analysis, and business intelligence principles
  • Knowledge of automation technologies, such as Power Automate, Power Apps, or RPA solutions
  • Strong documentation skills, with the ability to clearly describe processes and the work you’ve accomplished

Benefits

  • Competitive salary
  • Permanent position from day one
  • Various workshops and seminars designed to help you grow into your future career at Volvo Group
  • The possibility to shape your own career with endless career opportunities

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To apply for this job please visit jobs.volvogroup.com.

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