Senior Analytics Engineer

• Build and scale the company’s data infrastructure using platforms like Snowflake, dbt, Mode/Metabase to support the evolving business needs.
• Collaborate with the Senior Analytics Engineering Manager to develop and refine data models, data orchestrations, and dbt version updates.
• Promote best practices in analytics engineering across the organization through collaboration with other data teams.
• Ensure data quality and governance across business units such as Finance, Accounting Operations, Product, and Engineering.

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

Pay range: $88K - $130K

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