Location 

While our company operates exclusively on a remote basis, you must reside and have the legal right to work in one of the following countries: the United Kingdom, Latvia, or Spain.

This is a full-time, remote position. Please note that we do not engage on a B2B or contractor basis.

About

You Will 

• Contribute to developing and implementing a comprehensive analytics strategy that aligns with our business objectives.
• Design, develop, automate, and maintain ongoing metrics, reports, analyses, and dashboards on the critical drivers of our business.
• Maintain data integrity and quality through the use of tools such as dbt.
• Partner with Finance, Marketing, Sales, and Product teams to provide customer insights and identify opportunities for growth and customer acquisition, retention and engagement flows.
• Champion the use of data in decision-making, ensuring data accessibility and literacy across all departments.
• Champion and embed AI tools and agentic workflows across the data practice, accelerating analysis, automating repetitive tasks, and enabling forward-looking insights, while experimenting with emerging approaches and establishing best practices that continuously raise the team's AI maturity.

You Must Have 

• A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Economics, or a related field.
• 5+ years of experience in data analytics in a SaaS B2B environment in at least one (more is a plus) of the following business areas: Finance, GTM and/or Product.
• Proficiency in analytics and data tools and technologies like SQL, Python, DBT, and knowledge of statistical analysis, predictive analytics and experimentation (e.g. A/B testing).
• Excellent communication skills, with the ability to translate complex data insights into actionable strategies.
• Experience with data visualisation tools (e.g. Metabase, Looker or Lightdash).
• Experience working with a version control environment (e.g. git).
• Experience working with AI-driven analytics development, implementing reliable and accurate agentic analytics workflows. 

It’s a Plus If You Have 

• Experience building retention, churn and lifetime-value models and providing value through their applicability to the business. 
• Experience with causal inference techniques like causal impact analysis, difference-in-differences and/or propensity score matching.
• Experience working with Snowflake and Hex.
• Experience in data orchestration tools (e.g. Airflow, Prefect, Astronomer).
• Experience with cloud platforms (e.g. AWS, Azure, GCP) and cloud data services (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery).
• Experience with orchestration agentic AI platforms (e.g Dust, RelevanceAI, n8n).

Our Benefits

💰 Competitive salary and employee stock options.
🌍 Fully remote setup with flexible working hours.
🏢 Co-working budget for those days you want a change from your home office.
🌴 Flexible vacation policy to recharge when you need to.
🖥️ Home office setup budget: monitor, desk, ergonomics, whatever helps you do your best work.
📚 Learning & development budget to grow your skills and career.
🏥 Health insurance to keep you covered.
🧘 Wellness allowance to support your mental and physical well-being.
🤝 Great startup culture: remote but close-knit, with regular retreats and social events to stay connected.