Analytics Engineer

You will build out foundational agentic data tooling to support sales analytics and operations. You'll be responsible for the infrastructure that supports all analytics projects, dashboards, reports, and models. Your direct stakeholders will be the internal Sales Operations and Analytics team, but you will also work cross-functionally with talented Software Engineers, Data Engineers, and Data Scientists. You'll create new data models and data agents on Snowflake, balancing the responsibilities of a Data Analyst and a Data Engineer. You should be equally comfortable and excited about coding and modeling as you are about mentoring, training, and empowering a team of Analysts and Data Scientists.

Responsibilities

• Design and implement a semantic data warehouse layer on top of the datalake using Snowflake and dbt
• Architect scalable data solutions that empower the company to work with data through agentic processes more easily and efficiently
• Write documentation for best practices and to record the company's data
• Follow best practices around version control and mentor Data Analysts and Data Scientists on version control

Requirements

• 3+ years of work experience with SQL and experience with multiple flavors, Snowflake preferred
• 2+ years of work experience with Python
• 2+ years of work experience using Git for version control
• Experience using dbt and Snowflake is desirable
• Demonstrated knowledge of how agents interact with data and how to build secure, scalable data interfaces for humans and AI
• Strong drive to organize and document data in a reproducible manner
• Ability to understand the business logic for structuring data in a given way while also understanding and overcoming the technical limitations and challenges of implementing the desired data structure
• Eagerness to work on development of internal tools, systems, packages, process, and documentation
• Proven record of providing analyses that have tangible impact on the business
• Degree in Computer Science, Math, Statistics, Engineering, Economics, Information Systems, or hands on job experience with data science or analytics
• Experience supporting Sales operations and GTM teams

Benefits

• Life insurance, long and short-term disability coverage
• Paid maternity and paternity leave
• Fertility Benefits
• Generous vacation time, plus three 4-day summer holiday weekends
• Excellent medical, dental, and vision benefits
• 401k Plan
• Bi-annual swag drops with cool Podium gear and apparel
• Onsite HQ (Utah) gym with local professional coaches and classes offered
• Onsite HQ (Utah) child care center, subsidized for employees