As our first Analytics Engineer, you will build a data and analytics foundation to provide impactful metrics and data-driven insight across the organization. We already have the beginnings of a solid data stack on top of Snowflake, DBT, Heap and Tableau. You will have the opportunity to bring the data stack to the next level and define the processes and operations that power a data team. You will define key metrics, develop dashboards for stakeholders and own the data stack and pipelines to empower the team to make informed decisions.

What you'll do:

• Partner with other teams to define and build dashboards, reports and analyses that drive impactful business decisions
• Own the data stack and architecture including Snowflake, dbt, Tableau among other tools
• Build and maintain scalable ETL pipelines across our various systems and applications, collaborating with our Engineering team when necessary

How success will be measured in this role:

• All data is centralized and connected
• An Internal NPS Score

If the details below describe you, you could be a great fit for this role:

• 3+ years of experience in Analytics Engineering, Business Intelligence, Data Engineering, or Data Analytics managing large data sets across a range of sources
• Strong SQL and data modeling skills, with experience applying skills to thoughtfully create data models in a warehouse environment
• Excellent business acumen, with the ability to contextualize information and translate business issues into data models
• Direct experience implementing and managing the modern data stack (i.e. dbt, Snowflake) and ETL pipelines
• Strong data visualization skills, with the ability to translate data and its meaning to all stakeholders; Tableau experience preferred
• Curious problem solver who can find creative solutions to business and data problems
• Entrepreneurial, self-starter who can build data foundation
• Excellent communicator with track record of strong collaboration across teams to drive data-driven decision making
• Quantitatively rigorous

Interview Overview

Below you'll find an outline of the interview plan for our Analytics Engineer role. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

• Complete our job application by submitting your resume, LinkedIn profile, & contact information
• A thirty-minute interview with a member of our Talent Team
• A one-hour video interview with the hiring manager for this position
• Submit a take-home assignment that should take no longer than 30 minutes to complete
• Two, thirty-minute interviews with members of our team
• 2-3 references calls & a background check

Details

Start Date:

Based on the interview plan above, we expect this process to take approximately 2.5-4 weeks. This can depend on the availability of candidates and our hiring team.

Salary: 

The starting salary for this role is between $105,000 - $140,000+, depending on skills and experience. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. For all other countries, we have competitive pay bands based on market standards.