Job Description
Data Analyst / Analytics Engineer
Location: Solna, Stockholm, Sweden
Start Date: 1st October 2026
End Date: 31st March 2027
Work Style: Monday - Friday / Hybrid, 40 Hours Weekly
Role Objective
- Support the Power Forecasts product team in producing local-grid and regional-grid forecasts for housing, transport electrification, industry, and commercial premises.
- Maintain and improve a data-driven, automated forecasting workflow centred on Python scripts.
- Produce reliable forecasts and insights for network dimensioning, network-development planning, investment decisions, and customer dialogue.
- Enhance the quality, efficiency, and analytical value of forecasting, data-modelling, and reporting processes.
Key Responsibilities
- Automate forecasting activities previously completed manually using Python within a Databricks environment.
- Analyse customer and time-series data to develop improved forecasting methodologies.
- Build new Power BI reports and enhance existing reports through data modelling, calculations, and additional functionality.
- Update power forecasts for specific geographical areas and generate quantitative and qualitative insights.
- Assess data availability, combine information from multiple sources, and ensure data quality and reliability.
- Communicate analytical findings clearly to internal and external stakeholders.
Tasks
- Develop clear and efficient Python code to automate forecast preparation and processing.
- Conduct both defined analyses and exploratory investigations into customer and time-series data.
- Collaborate with colleagues from other disciplines to assess potential changes to forecasting methodology.
- Develop Power BI data models, calculations, visualisations, and report functionality.
- Gather, validate, process, and quality-assure input data used in power forecasts.
- Liaise with municipalities and local-grid customers when updating forecasts for specific areas.
- Prepare and present forecast results, insights, and supporting materials to relevant stakeholders.
- Contribute to the continuous development of automated and data-driven ways of working within the product team.
Deliverables
- Automated and maintainable forecasting workflows within Databricks.
- Updated local-grid and regional-grid power forecasts.
- Customer-data and time-series analyses supporting methodology development.
- Accurate and usable Power BI reports, data models, and calculations.
- Quality-assured datasets, analytical insights, and stakeholder presentation materials.
Decision Authority / Responsibility
- Own assigned analysis, automation, reporting, and forecast-update activities through to completion.
- Recommend improvements to forecasting methodologies, data models, and automated workflows based on evidence and analysis.
- Identify and escalate material data-quality, reliability, and methodological risks.
- Ensure analytical results and reporting outputs are clear, reliable, and suitable for stakeholder decision-making.
Requirements
- Several years of experience analysing large datasets, particularly customer data and time series, including data manipulation, modelling, and presentation of results to stakeholders.
- Several years of experience developing efficient, understandable code using Python or a comparable programming language.
- Professional experience in the electricity-network sector or other relevant energy-industry experience.
- Professional experience with data-visualisation tools such as Power BI.
- Strong analytical ability and advanced problem-solving skills.
- Able to communicate complex findings and messages clearly to different stakeholders.
- Relevant academic degree, such as an MSc in Engineering in Applied Physics, Energy Systems, Electrical Power Engineering, or another relevant technical discipline.
- Previous experience in insight generation and/or forecasting is advantageous.
- Experience working in an Agile Scrum team or equivalent environment is advantageous.
- Experience with artificial intelligence and machine learning is advantageous.
- Experience with SQL or an equivalent query language is advantageous.
Job Tags
Full time, Local area, Monday to Friday