Computer Vision (CV), Data Analytics, Data Architecture, Data Biuld Tool - dbt, Data Modeling, Data pipelines, Data science techniques, Data Transformation, Data Warehousing, Design, Git, Information science, Mathematics, Project management, Python Programming, R Programming, Reproducibility, script, Semantic Technologies, Snowflake, SQL, Statistics
Podium exists to help local businesses win. Using Podium, local businesses can simplify the way they communicate with their customers—from collecting payments to facilitating online reviews to launching marketing campaigns, and much more.
Our work and focus on helping local businesses thrive has been recognized across the industry, including Forbes’ Next Billion Dollar Startups, Forbes’ Cloud 100, the Inc. 5000, and Fast Company’s World’s Most Innovative Companies.
We look for people who are curious, creative and are willing to do the work to be a little better every day. We also embody our company values in all that we do, which always starts with being Customer Obsessed, followed by Be a Founder, Zero Drama, and Enjoy the Ride. Does that sound like you?
This role will help to shape the future of our centralized (hub and spoke) analytics service model as part of a fast growing team and company. 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 analytics team and you will work closely with talented Data Analysts, Data Engineers, and Data Scientists. The core responsibility requires you to create new data pipelines using SQL and scripting languages (R/Python). 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.
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Benefits
Podium is a private technology company headquartered in Lehi, Utah that develops cloud-based software related to messaging, customer feedback, online reviews, selling products, and requesting payments.