Data Analyst

Kintec Global Recruitment; Solna kommun; Hybrid; SEK 600,000 - 800,000; Full time

Job summary

Kintec Global Recruitment in Solna, Sweden, seeks a data-driven forecasting specialist to support the Power Forecasts product team. You will produce local-grid and regional-grid forecasts for housing, transport electrification, industry, and commercial premises, and automate workflows in Python within Databricks.

The role emphasizes data modelling with Power BI, quality data processing, stakeholder communication, and continuous development of automated, scalable forecasting methods.

Qualifications

• Extensive experience analysing large datasets, with data manipulation and presentation to stakeholders.
• Several years coding in Python with clear, maintainable scripts.
• Experience in electricity-network or energy sector preferred.
• Experience with Power BI for data visualization and reporting.
• Strong analytical ability and ability to communicate complex results clearly.

Responsibilities

• Automate forecasting tasks in Python within a Databricks environment.
• Analyse customer and time-series data to improve forecasting methods.
• Create new Power BI reports and enhance data models and calculations.
• Update regional forecasts and provide insights for planning and decisions.
• Ensure data quality by combining sources and validating datasets.
• Present results and insights to internal and external stakeholders.

Skills

Python

Data analysis

Time-series analysis

Data visualization

Stakeholder communication

Problem solving

Agile/Scrum

SQL

Education

MSc in Engineering in Energy or related field

Tools

Databricks

Power BI

Python environment

SQL

Job description

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.
• 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 elevate 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.