Data Analyst (AI)

Location: Oslo, Norway; hybrid setup with flexible hours and location, with Monday and Friday as remote days

Company

hirify.global provides administration, payments, communication, and data products for sports teams, clubs, and volunteer groups, serving more than 4 million monthly active users.

What you will do

• Build reports, dashboards, self-service tools, data exports, and emerging conversational analytics capabilities.
• Define metrics and balanced quality and performance indicators for internal and external use.
• Improve data literacy through training and capabilities that help teams use data independently.
• Shape data-product standards, developer experience, best practices, and responsible AI use in analytics.
• Support product teams in building and owning data products within their domains.
• Contribute to shared analytics tooling, the data platform, governance, and the end-to-end developer experience.

Requirements

• 3+ years of experience as a data analyst or in a similar role, with an analytical mindset and understanding of effective analytics.
• Ability to turn vague questions into structured, pragmatic answers that influence decisions.
• Advanced SQL skills and experience with modern data platforms such as Databricks or Snowflake, plus tooling such as dbt.
• Ability to bring in and model new data sources and explain data to non-technical stakeholders.
• Experience using AI in analytics work and interest in automation and new ways of working.
• Clear communication and experience translating non-technical users’ needs into data products.
• Experience working in a product organisation and cross-functional teams that build, ship, and improve data products.
• Pragmatic ownership, independence, and comfort working in an ambiguous, fast-changing environment.

Nice to have

• Experience with Omni, Mixpanel, or similar tools.
• Some Python experience or a background in sportstech.

Culture & Benefits

• Visible impact across a product used by millions of people.
• Meaningful responsibility early, with clear expectations and support for growth.
• Opportunity to define analytics culture and experiment with new technologies in a strong engineering environment.
• Hybrid work with flexible hours and location, including remote work on Mondays and Fridays.
• Flexible work environment, social events, off-sites, games, and a centrally located renovated Oslo office.
• Competitive salary and benefits plan.

Hiring process

• Applications are reviewed as they arrive, so early applications are encouraged.
• Contact Head of Data Frøydis Høistad for more information.