Data Analyst / BI Consultant

Start: ASAP Length: 1 year Location: On-site in Stockholm 2-3 days a week Utilization: 100 %, full-time We are looking for an experienced Data Analyst / BI Consultant with strong skills in SQL and Python to support the development and analysis of business metrics and KPIs. The consultant will work with data extraction, transformation, and analysis to help build meaningful insights and improve data-driven decision-making. The role requires someone who is comfortable working with data pipelines and analytical datasets, and who has experience defining and implementing KPIs and performance metrics that support business and operational monitoring. Responsibilities • Develop and maintain SQL queries for data extraction, transformation, and analysis. • Use Python for data processing and analysis. • Define, implement, and maintain KPIs and business metrics to support performance monitoring and reporting. • Collaborate with stakeholders to understand business requirements and translate them into measurable metrics. • Build and maintain dashboards and visualizations to communicate insights clearly. • Ensure data quality, consistency, and reliability of reported metrics. • Support BI and analytics initiatives with structured data modelling and metric design. Required Skills • Strong experience with SQL for data analysis and data manipulation. • Solid experience using Python for data analysis (e.g., pandas or similar libraries). • Experience designing and implementing KPIs and business performance metrics. • Experience working with analytical datasets, reporting layers, or data warehouses. • Ability to translate business requirements into measurable indicators and analytical outputs. Preferred / Advantageous Skills • Experience with BI and visualization tools, such as: • Power BI • Grafana • or similar dashboarding platforms. • Experience building interactive dashboards and operational monitoring views. Personal Qualities • Analytical and structured mindset. • Strong communication skills and ability to explain data insights clearly. • Proactive and comfortable working in cross-functional teams.