Analytics Engineer

Decentralized Masters•Miami, FL

1d•Remote

About The Position

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.

Requirements

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

Nice To Haves

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)

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

Benefits

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.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume