Analytics Engineer at Decentralized Masters

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

0.0

Posted On

08 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake, SQL, ETL, Data Modeling, Business Intelligence, Data Governance, Data Pipelines, Automation, Data Quality, HubSpot, Python, JavaScript, API Integrations, Marketing Analytics, Documentation, Version Control

Industry

education

Description

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. Check us out here: Decentralized Masters 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: HubSpot (CRM/marketing), ad platforms (Meta, Google, TikTok), 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 What do you bring? Must-Have Skills: 4-6+ years as Analytics Engineer, Data Engineer, or BI Developer Expert-level Snowflake experience (this is the #1 requirement) Built production Snowflake data warehouses Designed schemas and optimized performance Advanced SQL proficiency - Complex joins, CTEs, window functions, query optimization ETL/pipeline experience - Configured tools like Fivetran, Airbyte, or Stitch Data modeling expertise - Dimensional modeling, star schemas, fact/dimension tables BI tool experience - Built executive dashboards in Sigma, Tableau, Power BI, Looker, or similar Business acumen - Understanding of marketing metrics (CAC, LTV, ROAS), SaaS metrics (MRR, ARR, churn) Strong communication - Translate technical concepts for non-technical stakeholders Preferred Skills: Experience with HubSpot or similar CRM data structures Python or JavaScript for scripting and automation Knowledge of workflow automation tools Familiarity with API-based integrations and JSON data handling Exposure to version control (Git) and documentation standards Experience with dbt (data build tool) for transformations Marketing analytics experience (ad platforms, attribution modeling) What We Offer Competitive compensation package with performance-based bonuses. Fully remote, globally distributed team. Direct impact on data-driven growth across three critical departments. Opportunities for rapid career growth and exposure to advanced marketing and operational analytics. Collaborative, forward-thinking culture that values innovation and results. If you are ready to take on a challenge that will shape the future of crypto finance and grow with a team of innovators, we want to hear from you!

Responsibilities

As an Analytics Engineer, you will manage the Snowflake data warehouse, design automated data pipelines, and build dashboards for actionable insights. This role combines data engineering, SQL development, and business intelligence to influence company-wide decision-making.