Analytics Specialist
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Espoo, Finland"), this listing's salary midpoint is about 93% lower. The offer sits below the benchmark range (€2,150–€4,615). The listed pay band (€208–€240) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 748 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Espoo, Finland | €2,150/per month | €2,690/per month | €4,615/per month |
| Pay in our data — not quoted in ad (Mid-Level) | €208/per month | €224/per month | €240/per month |
Metsä Group’s Wood Supply and Forest Services builds and develops services for members and customers. The role focuses on accelerating the adoption of generative AI and LLM-based solutions and supporting the development of electronic services and online commerce. You will work within Metsä Forest’s development function digitalization team to build data and AI solutions that support business, in collaboration with business units, development leads, and Metsä Group’s ICT organization. The role involves validating data for analyses and developing functionalities that speed up digital customer interactions and commercial solutions. You will design, develop, and implement LLM- and generative AI-based solutions for electronic invoicing and e-services, and work actively with business, ICT, and external partners from concept to production (pilot to scalable deployment). You will participate in SAFe-based ongoing development and iterative solution-building with your team.
Job Details
Responsibilities
- Define, develop, and implement LLM- and generative AI-based solutions for electronic services and online commerce
- Actively collaborate with business, ICT, and external partners from concept to production
- Contribute to SAFe-based continuous development and iterative solution building with the team
Requirements
- A higher university degree in statistics, computer science, industrial engineering/DI or equivalent
- Strong analytics, machine learning, and deep learning expertise
- Experience with generative AI solutions in commercial contexts
- Experience with cloud data platforms (e.g., Azure, Databricks) and Python/SQL
- Business-facing mindset and ability to link technology to value
- Good collaboration and communication skills in Finnish and English
Skills & Technologies
Education Level
Masters
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