Senior Analytics Engineer I

Summary

Join GOAT Group as a Senior Analytics Engineer I and help establish best analytical practices. You will build and scale data infrastructure (Snowflake, dbt, Mode/Metabase), collaborate with data teams, and establish data quality and governance. This role requires strong SQL skills, experience with dbt and Git, and proficiency in data modeling and orchestration tools. The ideal candidate will possess 3-5+ years of experience in a relevant field and excellent communication skills. GOAT Group offers a competitive salary, plus benefits including 401K, paid time off, dental, medical, vision, disability, and life insurance options.

Requirements

• 3-5+ years in an Data Analytics, Analytics Engineering, Data Engineering, or Business Intelligence Engineering role
• Strong SQL skills with knowledge of window functions, performance tuning, optimization, and legibility
• Experience using dbt CLI/Cloud or other data modeling tools (Stitch, Coalesce, etc.)
• Proficient in using Git for version control, including branching, merging, and collaborative development best practices
• Experience with scheduling and orchestration tools (GitHub Actions, Airflow, etc.)
• Familiarity with event tracking analytics and clickstream data (mParticle, Snowplow, etc.)
• Comfortable with Python/R for advanced ETL/ELT procedures
• Ability to communicate effectively with and prioritize requests from both technical and non-technical stakeholders

Responsibilities

• Build upon and scale our current data infrastructure (Snowflake, dbt, Mode/Metabase) to meet evolving business needs and capture critical business logic
• Work closely with the Senior Analytics Engineering Manager to create and improve data models, data orchestrations, dbt version updates, and development environments
• Contribute expertise and promote best analytics engineering practices in the organization through collaboration with other data teams and stakeholders
• Establish data quality and governance across all business units including, but not limited to, Finance, Accounting Operations, Product, and Engineering

Benefits

• 401K
• Paid time off
• Dental
• Medical
• Vision
• Disability
• Life insurance options