GOAT Group
SeniorAnalyticsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Analytics Engineer at GOAT Group. Skills: Data Modeling, SQL, dbt, Analytics Engineering. Build and scale data infrastructure. Create and improve data models”
What They're Looking For.
Must Have
Data Analytics, Analytics Engineering, Data Engineering, Business Intelligence Engineering, SQL skills, window functions, performance tuning, optimization, legibility, dbt CLI/Cloud, Git for version control, branching, merging, collaborative development, scheduling and orchestration tools, event tracking analytics, clickstream data, Python/R for advanced ETL/ELT, communicate effectively, prioritize requests
Nice to Have
dbt version updates, development environments, data quality and governance, mParticle, Snowplow
What You'll Do.
Build and scale data infrastructure
Create and improve data models
Improve data orchestrations
Improve dbt version updates
Improve development environments
Promote best analytics engineering practices
Establish data quality
Establish data governance
How You'll Work.
Team & Collaboration
collaboration with other data teams; collaboration with stakeholders; communicate with technical stakeholders; communicate with non-technical stakeholders
Communication Scope
communicate effectively; prioritize requests
Full Job Description
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 GOAT Group uses geographic pay tiers based on the employee’s home state to align compensation with market dif
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