Analytics Engineer

Brainforge is a rapidly growing data analytics consulting company on a mission to transform data into actionable insights. They are seeking a highly skilled Analytics Engineer to build data models, develop scalable architectures, and collaborate with stakeholders to create actionable data solutions.

Responsibilities:

• Data Modeling & Architecture: Design, implement, and maintain robust, scalable data models to support analytics and reporting
• Build end-to-end data marts and ensure they meet stakeholder requirements for usability, accuracy, and performance
• ETL Development: Build, optimize, and manage ETL pipelines using DBT (5+ years required) and tools like Fivetran
• Ensure high standards for data quality, integrity, and consistency across multiple sources
• Collaboration & Stakeholder Engagement: Work directly with business stakeholders to gather requirements, define KPIs, and deliver usable data solutions
• Partner with at least one or two other analytics engineers to design, test, and refine data products
• Tooling & Process Management: Use GitHub for version control and collaboration
• Leverage tools like Figma, FigJam, or Miro for whiteboarding and documenting data workflows
• Implement testing, usage measurement, and observability best practices for data marts
• Continuous Improvement: Stay current with modern data stack trends and continuously improve data modeling methodologies
• Contribute to building the company’s long-term data modeling strategy and methodology

Requirements:

• 5+ years working with DBT in production
• Experience with data in B2B SaaS, B2C digital products, CPG e-commerce, or health
• Proficiency with major cloud data warehouses (BigQuery or Snowflake)
• Strong SQL skills and proven track record of scalable data modeling
• Hands-on use of GitHub for version control
• Proven experience working with other analytics engineers (not just as a solo data contributor)
• Ability to work directly with stakeholders to design and deliver data products
• Builder Mentality – Passionate about creating and iterating on data solutions from scratch
• Stakeholder-Centric – Comfortable leading conversations with non-technical users to gather requirements
• Analytical & Curious – Always measuring, testing, and improving data solutions
• Collaborative – Enjoys working closely with team members and cross-functional partners
• Time Zone Fit – Can work until at least 12 PM US Central Time
• Startup or smaller company background
• Work in consulting or agency environments
• Familiarity with BI tools like Looker or Tableau
• Experience with Python, dbt tests, and SQL linters like SqlFluff