Power Forecasts Data Analyst & Analytics Engineer

Avenga; Stockholms kommun; On-site; SEK 680,000 - 900,000; Full time

Job summary

Avenga is seeking a Data Analyst / Analytics Engineer to join the Power Forecasts team. You will analyze customer and time-series data to support power grid forecasts and transform manual forecasting into automated, data-driven workflows.

You will combine data analysis, Python development, data modelling, and visualization to generate insights that guide grid development, investments, and business decisions.

Qualifications

• 4 years of experience with large datasets (customer/time-series).
• Experience in data analysis, manipulation, modeling, and communicating insights.
• 3+ years Python coding experience.
• Professional experience with Power BI.
• Strong analytical and problem-solving skills.
• Ability to communicate complex findings to technical and non-technical stakeholders.
• Experience in the power grid or broader energy sector.
• Degree in Engineering Physics, Energy Systems, Electrical Power, or related field.

Responsibilities

• Automate parts of the forecasting process using Python in Databricks.
• Analyze customer and time-series data to identify trends and improve forecasting.
• Collaborate to improve forecasting approaches with cross-functional teams.
• Build and enhance Power BI reports with data modelling and calculations.
• Update forecasts for regions by processing input data and insights.
• Gather input data from municipalities and grid customers.
• Prepare and present findings to stakeholders.

Skills

Large datasets

Python programming

Time-series data

Data visualization

Stakeholder comms

Data modelling

Analytical thinking

Energy sector

Collaboration

Databricks

Education

Engineering/Physics degree

Tools

Databricks

Power BI

Job description

Avenga is seeking a Data Analyst / Analytics Engineer to join the Power Forecasts team. You will analyze customer and time-series data to support power grid forecasts and transform manual forecasting into automated, data-driven workflows.

You will combine data analysis, Python development, data modelling, and visualization to generate insights that guide grid development, investments, and business decisions.