Lead Analytics Engineer

• Collaborate cross-functionally to ask the right questions, uncover insights, and drive strategic decisions.

• Design, build, and maintain robust data infrastructure and pipelines to support analytics and product use cases.

• Translate complex business needs into scalable data solutions using modern data tools.

• Guide best practices in data modeling, transformation, and visualization.

• Own and evolve our analytics platform, including our use of Looker, DBT, and Snowflake.

• 5+ years of hands-on experience in data analysis or data engineering roles.

• Deep curiosity about business performance, with a demonstrated ability to ask high-impact questions.

• Strong proficiency in SQL, DBT, and Snowflake.

• Meticulous attention to detail and a strong quality mindset.

• Excellent written and verbal communication skills, especially when translating data for non-technical stakeholders.

• Proficient with Python

• Experience building data pipelines using Python

• Familiar with GCP and AWS

• Looker

• DBT

• Snowflake

• Be part of a rocket-ship startup redefining how professionals connect and grow.

• Work closely with experienced leaders and cross-functional teams to shape our financial strategy.

• Make a measurable impact in a role critical to our long-term success.

• Fully remote

• Competitive salary

• Meaningful equity

• Full insurance & benefits

• Unlimited PTO

• $250 monthly wellness credit

• Constant daily learning****

Popl is defining a new space as the first ever in-person marketing platform. Our SaaS products help companies and professionals instantly share contact info, capture leads, export to CRMs, and more. We’re on a mission to empower every person and organization to grow faster, one connection at a time.