Forecasting Data Analyst — Hybrid, Python + Power BI

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

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.