Data Analyst
Allstar Business Solutions
full-time
Posted on:
Location Type: Hybrid
Location: Stockholm • 🇸🇪 Sweden
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
PythonSQLTableau
About the role
- Translate business questions into structured analytical problems
- Collaborate with stakeholders to define KPIs, metrics, and data needs
- Validate and refine datasets used for operational and strategic insights
- Collect, clean, and structure large datasets for analysis
- Identify trends, anomalies, and behavioral patterns across the EV charging ecosystem
- Conduct exploratory analyses and experiments to validate hypotheses
- Build and maintain dashboards and reports for stakeholders
- Present insights in a clear, structured, and visually compelling way
- Provide recommendations that influence pricing, product development, and customer experience
- Analyze the EV charging value chain to identify strategic opportunities
- Improve data accessibility and documentation across teams
- Assist colleagues in finding, validating, and interpreting relevant data
- Promote data literacy and metric consistency across the organization
Requirements
- 2+ years of experience in a data analytics role
- Strong SQL skills and experience with relational databases
- Proficiency with data visualization tools (Power BI, Tableau, Looker, Superset, etc.)
- Proven track record of turning complex datasets into actionable insights
- Strong analytical and conceptual thinking
- Excellent written and verbal communication skills
- Bachelor’s degree in a relevant field such as Computer Science, Engineering, Statistics, or Economics
- Basic Python knowledge or experience with dbt
- Experience building predictive or machine learning models
- Experience working in SaaS, mobility, or multi-sided platform environments
Benefits
- Company-issued equipment
- Access to modern analytics tools and clean datasets
- Supportive onboarding and cross-functional collaboration
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLdata visualizationPythondbtpredictive modelingmachine learningdata cleaningdata structuringdata analysisKPI definition
Soft skills
analytical thinkingconceptual thinkingcommunicationcollaborationrecommendationdata literacyproblem-solvingpresentation skillsstakeholder engagementdocumentation