Data analyst

NO Oslo
500k/year - 600k/year
Deadline:

Data Analyst | Oslo | Full-time | Hybrid prefered (Remote is fine)


AI supply chain start-up are building technology that helps organisations make smarter, faster decisions in complex and uncertain environments. Data sits at the heart of everything they do and they're now looking for a Data Analyst early in their career who’s excited about working with real-world, often unstructured data.


The Role:


This is a great opportunity for someone with 1–2 years of experience who wants to deepen their analytical skills while working closely with product, engineering, and customer-facing teams.


You’ll spend your time:


  • Working with large, messy, and unstructured datasets from multiple sources
  • Writing and optimising SQL queries to extract, transform, and analyse data
  • Turning raw data into clear insights that support product and business decisions
  • Helping improve data quality, models, and internal reporting
  • Contributing to a growing data culture where curiosity and pragmatism matter


What They're Looking For:


We’re less interested in buzzwords and more interested in how you think about data.


You’ll likely have:


  • 1–2 years’ experience in a data analyst or similar role
  • Strong, hands-on SQL skills (this is essential)
  • Experience with Python or similar tools for data analysis
  • A genuine interest in working with unstructured or semi-structured data
  • Confidence explaining insights to both technical and non-technical stakeholders
  • A curious mindset and a willingness to learn fast


Nice to have (but not required):



  • Exposure to cloud data platforms or modern analytics stacks
  • Interest in supply chains, risk, or decision-support systems


Send through your CV if you'd like to be considered.

How to Apply

If you’re excited about leading talented engineers and making an impact, we’d love to hear from you.

To apply, send your CV and a short cover letter explaining why you’re the right fit for this role.
Please fill out all the fields before applying.

Accepted Document Types: .pdf, .doc, .docx

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