Analytics & ML Engineer — Self-Service Data for Clean Energy

Aira Group; Stockholms kommun; On-site; SEK 700,000 - 1,100,000; Full time

Benefits offered by this job

Office in Stockholm

Job summary

Aira Group in Stockholm is seeking an analytics engineer to join our central data team, shaping analytics across the customer journey from acquisition to live heat pump telemetry. You'll build data models with SQL and dbt, define KPIs with Product teams, and develop a semantic layer for self-service analytics, using statistics and ML to improve products.

Collaborate with international teams, work in a fast-growing scale-up, and contribute to a sustainable energy future with hands-on data work

Qualifications

• 3+ years of experience in analytics engineering, data science, ML or 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 business understanding.
• Interest in collaborating with Product teams to improve processes and products.

Responsibilities

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

Skills

SQL skills

Analytical thinking

Quantitative reasoning

Product collaboration

Tools

dbt

GCP

AWS

Azure

Job description

Aira Group in Stockholm is seeking an analytics engineer to join our central data team, shaping analytics across the customer journey from acquisition to live heat pump telemetry. You'll build data models with SQL and dbt, define KPIs with Product teams, and develop a semantic layer for self-service analytics, using statistics and ML to improve products.

Collaborate with international teams, work in a fast-growing scale-up, and contribute to a sustainable energy future with hands-on data work