Analytics Engineer

Location: Greater London

Who Are We

Decentralized Masters is at the forefront of DeFi education globally. In just two years, we have grown from a pioneering pair of co-founders to over 120 dedicated professionals. Today, we are recognized as one of the fastest-growing enterprises in the sector, with industry insiders predicting our evolution into a unicorn company by 2030. Operating on a bootstrapped model, we are on track to achieve an impressive $50 million in revenue this year alone.

Our

Impact

While our growth has been remarkable, we take even greater pride in the success of our clients. To date, we have empowered over 4,000 investors to break into the DeFi world. At Decentralized Masters, we don't just offer education; we cultivate a powerhouse of knowledge combined with an engaging community, innovative technology, and a team of leading DeFi and blockchain experts.

Our commitment is to deliver unparalleled resources designed for long‑term success in the world of DeFi and Web3, ensuring our members not only safeguard but also enhance their financial future.

Our Vision

Our goal is to create the largest and most influential DeFi ecosystem the world has ever seen, starting with becoming the gold standard in DeFi education. This vision is ambitious, transformative, and poised to change the landscape of digital finance.

Are You Ready?

This is more than just a job; it's an opportunity to shape the future of Web3 technology and education. Are you ready to be part of our vision to redefine what's possible in DeFi and beyond? Apply below, and let's explore this journey together.

What will you be doing?

As the Analytics Engineer, you'll be at the center of how data flows across Decentralized Masters. You'll architect and own our Snowflake data warehouse, design automated data pipelines from marketing platforms, CRM systems, and payment tools, and build dashboards that turn complex data into clear, actionable insights for our leadership team. This hands‑on role blends data engineering, SQL development, and business intelligence, offering a chance to make a direct impact on company‑wide decision‑making as we scale from $50M to unicorn status.

Key Responsibilities Snowflake Data Warehouse Management

• Architect and manage our Snowflake environment (schemas, warehouses, users, roles)
• Design and implement data models using Bronze → Silver → Gold layer architecture
• Write advanced SQL to transform, clean, and aggregate data from multiple sources
• Optimize query performance and costs in Snowflake
• Implement data governance and security best practices

Data Pipeline & Integration Management

• Configure and maintain ETL/ELT tools (Fivetran, Airbyte, or similar) to sync data into Snowflake
• Connect data sources:
  Hub Spot (CRM/marketing), ad platforms (Meta, Google, Tik Tok), Stripe (payments), and analytics tools
• Monitor pipeline health, troubleshoot data consistency issues, and ensure data freshness
• Handle schema changes and API updates

Data Modeling and Transformation

• Design dimensional data models (fact and dimension tables, star schemas)
• Build standardized business metrics for marketing, sales, and finance
• Combine, clean, and transform data from multiple sources for consistent business use
• Collaborate with stakeholders to translate business needs into scalable data structures

Business Intelligence and Reporting

• Build and maintain dashboards (Sigma Computing, Tableau, Power BI, or similar) that empower business teams with real‑time insights
• Create executive dashboards for marketing performance, sales funnel, customer analytics, and revenue metrics
• Define, document, and maintain consistent KPIs across departments
• Perform ad‑hoc analysis to answer critical business questions

Automation and Data Quality

• Implement automated workflows for reporting and data synchronization
• Build data quality checks, alerts, and monitoring to maintain reliability
• Create and maintain documentation for all pipelines, data models, and metrics

Requirements Must‑Have Skills

• 4–6+ years as Analytics Engineer, Data Engineer, or BI Developer
• Expert‑level Snowflake experience (this is the #1 requirement)
• Advanced SQL proficiency – complex joins, CTEs, window functions, query optimization
• ETL/pipeline…