About Spond: Spond is a rapidly scaling, PE-backed consumer tech company revolutionizing sports group management globally. With 3.5 million monthly active users worldwide, we simplify organizational tasks, payments, and communications for sports teams and communities. Join us at an exciting phase of international expansion and financial growth, shaping the future of community-driven sports technology.

About the role: We’re looking for at least one highly motivated and proactive Data Analyst to join our team. You’ll work as part of a knowledge hub together with other engineers and analysts, while also being embedded in cross-functional product teams and business units—making a direct impact on Spond’s global growth and monetization. If you’re eager for a role where your work directly influences millions of users and puts data at the core of smarter, more scalable decisions, this is your chance to make a real impact!

Key responsibilities

• Gather and model data from multiple sources (internal product databases, analytics platforms, surveys, etc.) and consolidate it into accurate, actionable insights.
• Build and maintain dashboards and visualizations that drive decision-making across the company.
• Work closely with cross-functional teams (Product, Engineering, Marketing, Sales, etc.) to jointly identify opportunities, validate hypotheses, and measure outcomes.
• Translate complex data into clear business recommendations, influencing product roadmaps and organizational strategies.
• Help educate and enable teams to become more data-driven through development of best practices and tooling.

Formal qualifications

• Minimum of 3 years of completed higher education in computer science, statistics, mathematics, data science, or closely related quantitative fields.
• Preferably at least one year of relevant experience in data/business analysis, data science, or data engineering. Strong graduates with relevant academic or project experience are also encouraged to apply.
• Fluent English and Norwegian proficiency required, both written and spoken.

Technical skills

• Strong foundation in mathematics and statistics.
• Proficiency in Python (Pandas, NumPy, etc.) and SQL for data wrangling and analysis.
• Basic understanding of ETL pipelines and data processing frameworks.
• Basic understanding of data modeling techniques (e.g., Kimball dimensional-modeling)
• Basic knowledge of commonly used analytical patterns (e.g., aggregation-, cumulation-, and window-based patterns)

Personal attributes

• Adept at breaking down complex problems, interpreting results, and communicating insights to non-technical audiences.
• Comfortable working autonomously and challenging stakeholders to clarify the real business needs behind data requests—ensuring every analysis brings tangible value.
• Embrace a growth mindset, contributing to both your own development and that of the teams around you.
• Thrives in a diverse, dynamic environment, proactively seeking out partnerships across the organization to elevate collective knowledge and outcomes.

We consider it a bonus if you have

• Experience with AWS or other cloud environments
• Proficiency with dbt
• Familiarity with Databricks
• Experience using BI tools (Power BI, Looker, Lightdash, Tableau)
• Knowledge of code management and deployment best practices (CI/CD)
• Exposure to A/B testing, product metrics, or user funnel analysis
• Working knowledge of ML frameworks (TensorFlow, PyTorch, or Keras)

Why you will love working at Spond

• Make a real difference at scale—your insights will directly shape the experience of millions of users and support the future of sports and activities worldwide.
• Play a key role in defining our analytics culture, processes, and focus areas.
• Get the freedom to experiment with new technologies and improve existing systems in a company with a strong engineering culture.
• Enjoy a flexible work environment with the autonomy to structure your day in a way that suits your productivity and lifestyle.
• We offer a competitive salary, comprehensive benefits, and a centrally located office in downtown Oslo to support your work and life.

Application

Please provide your CV and your grade transcript(s) - no cover letter needed.

Deadline:

The deadline is Sunday, May 18th. We will review applications on an ongoing basis.