What you’ll do

📍Design, build, and maintain reliable data models that transform raw data into business-ready datasets. 📍Collaborate closely with analysts, data scientists, and business stakeholders to understand requirements and translate them into actionable metrics, KPIs, and dashboards. 📍Develop and maintain metrics definitions, semantic layers, and data documentation to ensure consistency across teams. 📍Build, optimize, and test dbt models to deliver clean, reliable, and trusted data. 📍Ensure data quality, accuracy, and governance are embedded in all models and pipelines. 📍Create dashboards, reports, and visualizations that empower business users to make data-driven decisions. 📍Work with SQL and transformation frameworks to write efficient queries and maintain performant models. 📍Partner with data engineers to ensure smooth data ingestion and availability for analytics. 📍Continuously improve processes and workflows to increase efficiency, reliability, and scalability.

Would be great if you brought this to the role

📍Over 6 years of experience as a Analytics Engineer 📍Previous experience developing and tracking KPIs for public companies 📍Expert-level SQL skills with experience writing complex queries and optimizing performance. 📍Hands-on experience with dbt for data transformation and modeling. 📍Strong understanding of data modeling concepts (e.g., star schema, 📍Familiarity with BI and dashboarding tools (e.g., Looker, Superset, Tableau, Power BI).

The future of finance is here — whether you’re interested in blockchain, cryptocurrency, or remote web3 jobs, there’s a perfect role waiting for you.