presentation skills — ability to turn data into compelling stories. Nice to Have: Experience with Python, R, or another scripting language for data manipulation. Familiarity with cloud data platforms (e.g., BigQuery, Snowflake, Redshift). Understanding of player segmentation, LTV, churn, and responsible gaming metrics. What we offer: Fully remote work. Competitive salary package commensurate with experience Opportunity to work in More ❯
deep experience in: Languages & Frameworks: TypeScript, Node.js, PHP (Laravel/Nova), React, React Native, Python, SQL, Postgres, Redis. Cloud & Infrastructure: AWS (ECS, IoT Core, Lambda, Redshift, Cognito) and GCP (BigQuery, Firebase, Cloud Functions, Pub/Sub). Tools & Processes: Git, Postman, JIRA, Confluence, and automated testing tools. About You 5+ years in software development, with at least 2 years More ❯
practices. Technical Expertise Languages & Frameworks: TypeScript, Node.js, PHP (Laravel/Nova), React, React Native, Python, SQL, Postgres, Redis. Cloud & Infrastructure: AWS (ECS, IoT Core, Lambda, Redshift, Cognito) and GCP (BigQuery, Firebase, Cloud Functions, Pub/Sub). Tools & Processes: Git, Postman, JIRA, Confluence, and automated testing tools. About You 5+ years in software development, with at least 2 years More ❯
and 3 analytics engineers, you will turn CRM, finance and marketing data into decision-grade insights that move revenue, retention and unit economics metrics. Design & own core datasets (dbt → BigQuery). Author and maintain dbt models, tests, docs and macros that produce production tables for accounts, opportunities, bookings, revenue recognition, customer events and marketing touchpoints. Commercial performance & forecasting. Lead … on turning complex commercial problems into reliable data products. Extensive experience in an analytical role supporting Sales, Finance, Marketing or GTM teams. Ideally in a B2B SaaS environment dbt & BigQuery: commercial experience developing DBT models on top of a modern data warehouse such as BigQuery or Snowflake Expert SQL: advanced query design, optimisation, and building reusable analytical datasets. More ❯
