Data Analyst
Workplace: Stockholm, Sweden
Expires: October 26, 2025
As a Data Analyst at Voi Technology AB, your primary responsibility will be to support decision-making by providing actionable insights and recommendations based on data analysis. You will build decision support tools, guide operational decisions, solve business and product problems using data, present insights to stakeholders, extract and visualize data patterns, clean data, advise on performance metrics and methodologies, and lead the team towards data-driven ways of working.
Main requirements:
  • Business interest, curiosity and creativity for efficient problem-solving
  • Experience translating open-ended stakeholder needs into analytical solutions
  • Several years of experience working as a Data Analyst in an autonomous and agile environment
  • Strong SQL skills
  • Ability to communicate insights and findings effectively
  • Great communication skills for collaboration and sharing insights
  • University degree in relevant fields such as Mathematics, Statistics, Science, Engineering, or Business
Responsibilities:
  • Build decision support tools using data, metrics and dashboards
  • Guide operational decisions and help product teams build the best products
  • Solve business and product problems through data analysis
  • Present insights and recommendations to stakeholders
  • Extract, manipulate and visualize data to find and understand patterns
  • Clean data to develop features and signals in a vast, unordered data set
  • Help the organization learn from data by advising on performance indicators, tests and analytical methodologies
  • Teach team members and lead the way for data driven ways of working
Required hard skills:
  • SQL
Recommended hard skills:
  • Experience with dbt
  • Experience with Python
Soft skills:
  • Curiosity
  • Creativity
  • Strong communication skills
  • Team player
  • Adaptability
  • Ability to present insights effectively
Coding languages:
  • SQL
  • Python
Frameworks:
  • dbt
Natural languages:
  • English (Proficient)
Cultural skills:
  • Challenge the status quo
  • Drive change
  • Collaborative mindset
  • Data-driven approach