Senior Analytics Engineer

Role Overview

The Senior Analytics Engineer I will help establish best analytical practices across the GOAT Group organization. Ideal candidates will have a deep understanding of data modeling and core software engineering principles in addition to technical SQL skills. Additionally, candidates will have a curiosity for the business and ability to expand their knowledge through learning and implementation of new analytics engineering technologies.

In this role, you will:

• 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

We are looking for:

• 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