Analytics & ML Engineer for Clean-Energy AI Impact

Aira; Stockholms kommun; In loco; SEK 600.000 - 900.000; Tempo pieno

Vantaggi offerti da questo lavoro

Brand-new Stockholm office

Career advancement opportunities

Supportive and inclusive culture

Descrizione del lavoro

Aira, Stockholm-based energy-tech scale-up, seeks an analytics engineer to join our central data team. You’ll work across the customer journey, building data models and metrics with SQL and dbt. This role helps move BI toward self-service analytics and applies statistics, optimization and ML to improve products.

Collaborate with Product teams across international markets, tackle diverse problems, and shape data-driven decisions that impact energy solutions for homes.

Competenze

• 3+ years of experience in analytics engineering, data science, machine learning or a similar quantitative role.
• Strong SQL skills and experience working with large datasets.
• Experience with data transformation and dimensional data modelling.
• Strong analytical and problem-solving skills with ability to tackle non-obvious problems.
• Interest in understanding the business and collaborating with Product teams.

Mansioni

• Build and maintain data models and metrics using SQL and dbt.
• Work with Product teams to define KPIs, track performance and identify improvement areas.
• Develop the semantic layer that powers self-service analytics across Aira.
• Use statistics, experimentation, optimisation and ML to improve products and processes.
• Utilize AI-assisted tools in day-to-day work.

Conoscenze

Analytics engineering

SQL

dbt

Data science

Machine learning

Strumenti

Python

BigQuery

Cloud platforms

Descrizione del lavoro

Aira, Stockholm-based energy-tech scale-up, seeks an analytics engineer to join our central data team. You’ll work across the customer journey, building data models and metrics with SQL and dbt. This role helps move BI toward self-service analytics and applies statistics, optimization and ML to improve products.

Collaborate with Product teams across international markets, tackle diverse problems, and shape data-driven decisions that impact energy solutions for homes.