Analytics Engineer: ML & Self‑Service Data for Energy

Aira Group AB

Stockholms kommun

On-site

SEK 700,000 - 1,100,000

Full time

8 days ago

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Job summary

Aira Group AB in Stockholm is looking for an analytics engineer to join the central data team, working across the customer journey from acquisition to live heat pump data. You will help move from traditional BI to self-service analytics and empower teams to explore data.

With 3+ years in analytics, you will build data models, define KPIs with Product, develop the semantic layer, and apply statistics, experimentation and ML to improve products.

Qualifications

  • 3+ years 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 the ability to tackle problems that don’t have an obvious solution.
  • An interest in understanding the business and working closely with Product teams to improve how things work.

Responsibilities

  • Build and maintain 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 that powers self-service analytics across Aira.
  • Use statistics, experimentation, optimisation and machine learning to improve our products and processes.
  • Use AI-assisted tools such as Claude in your day-to-day work.

Skills

SQL
Data modelling
Statistics
Machine learning

Tools

dbt

Job description

Aira Group AB in Stockholm is looking for an analytics engineer to join the central data team, working across the customer journey from acquisition to live heat pump data. You will help move from traditional BI to self-service analytics and empower teams to explore data.

With 3+ years in analytics, you will build data models, define KPIs with Product, develop the semantic layer, and apply statistics, experimentation and ML to improve products.

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