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Enersense
Posted 1mo ago

Analytics Engineer

Enersense
Helsinki or Tampere
HybridFull Time
Responsibilities
  • engaging stakeholders
  • building dashboards
  • developing pipelines
Requirements
  • Bachelor's degree in a technical field
  • 3+ years analytics experience
  • BI and dashboarding (Power BI)
  • SQL and ELT pipelines
  • Familiarity with Microsoft Fabric
  • Python/PySpark/dbt advantageous
  • Strong stakeholder communication
Technical tools mentioned
Power BIPythonPySparkdbtMicrosoft FabricPurviewSQL

Job description

Join us in building a sustainable society powered by clean energy and reliable connections! We are now looking for Analytics Engineer in Helsinki.

Enersense is actively building and strengthening its digital capabilities across all business lines. This role offers a unique opportunity to be part of a transformative journey where digitalization, operational excellence, and technology-driven development go hand in hand. You will play a vital role in shaping and enabling technical capabilities within analytics.

You will collaborate closely with key business stakeholders, customers, and other IT teams. This position offers broad exposure across the organization and customer interfaces, enabling a data-driven approach to decision making within all our business lines supported by AI-driven technology.

Tasks and responsibilities:

  • Engage with business stakeholders, facilitate discussions, gather business requirements and understand reporting and analytics needs
  • Developing and managing support and development processes 
  • Propose and build innovative solutions for our business lines

 

Requirements:

  • Bachelor's degree or higher in Computer Science, Engineering, or a related technical discipline
  • At least 3 years of work experience within analytics
  • Hands-on experience in designing and building dashboards, reports, and visualizations and strong skills in BI tools preferrable PowerBI
  • Capability of using AI development tools in your work
  • Basic knowledge of Python / PySpark / dbt is seen as advantage
  • Familiarity with Data Lakehouse platform (Microsoft Fabric) and medallion data architecture in conceptual level
  • Capability of building ELT processes, data pipelines, using SQL. Experience of Microsoft technology is seen as advantage. 
  • Strong understanding of data modelling for analytics (dimensional modelling, star schema, AI ready data models etc) 
  • Basic knowledge of data management and related tools like Purview

 

Are you up for the challenge? Come and create the best customer experiences with us!

The application period ends on 14.8.2026. However, please send your application as soon as possible, as we may begin interviews during the application period and fill the position once the right candidate is found.

For more information about the position, please contact: Kasper Kuusela, Talent Acquisition Partner, +358 40 679 1312, [email protected] 

#enersenserecruitment

About Enersense

Builds and maintains energy, industrial, and telecommunications infrastructure.

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