Analytics Engineer

United States·Lehimid

Data EngineerData

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Quick Summary

Overview

At Podium, we bring AI Employees to local businesses that turn every conversation into revenue. Trusted by 60,000+ businesses across Auto, Home Services, and Aesthetics, Podium captures and converts leads 24/7, driving both new business and repeat customers.

Technical Tools

dbtopenaipythonsnowflakesqlmentoring

In under 24 months, we crossed $100M in AI Agent ARR, scaling 300% year-over-year. During this time, we’ve deployed 10,000 AI employees to empower real business outcomes for our customers. Podium is building what we believe will be the most impactful AI employee ecosystem for local business.

Podium has been recognized as the Best AI Implementation by Inc. Magazine, highlighted by OpenAI for building revenue-driving AI Agents, and awarded the #1 AI Agent for Business Operations by G2.

Our growth is fueled by hiring exceptional people, holding them to high standards, and creating opportunities for them to grow and make an impact. Our operating principles guide daily behavior and ensure we hire people who will thrive at Podium. If you're hungry for growth, aligned to our operating principles, and ready to get to work, you won't find a better place to learn and accelerate your career.

This role will build out foundational agentic data tooling to support sales analytics and operations. As an Analytics Engineer at Podium you will 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. The core responsibilities require you to create new data models and data agents on Snowflake. This role is a balance between 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

~1 min read

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

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
You have a 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
You are committed to honesty and a diverse and inclusive workplace