data analyst

ABOUT THE Data Analyst ROLE:

must. love. data. soona is looking for a rock star to join the team as their very first data hire. the data analyst will work closely with the leadership team to coalesce, analyze and report our data and work cross-functionally to surface and share insights with the team. the data analyst will be responsible for developing KPI dashboards and implementing a data centric culture across our team. 

candidates should have outstanding analytical skills and feel comfortable working in large unstructured data sets, as they will be responsible for surfacing new and dynamic findings that will further maximize our ability to generate revenue and improve customer value. you are a self-starter who is able to take on an ambiguous problem and storytell a solution through data. 

ideal candidates would live in either the Twin Cities or Denver, but we are willing to consider remote candidates in other locations.

we can offer

  • strong starting salary up to $70,000
  • benefits + pto + killer culture
  • stock options
  • really badass headshots
  • a fitness and streaming benefit!


  • candidates should send their resume  to with the subject line: “data analyst application”
  • share their favorite instagram feed in their cover letter


  • passionate about joining a top-tier early stage startup

  • develop and implement the data and analytics systems for the organization

  • maintain data and and identify opportunities for sourcing complex data sets

  • create best practices for data mining and visualization

  • present data to leadership team and develop reporting for the organization

  • present data and dashboards company wide for key KPIs

  • gather requirements and work with other teams in collaborative way

  • has strong experience working with SQL databases and writing SQL queries

  • passionate about growth

  • eager to learn new technologies and help shape the direction of data science initiatives

  • can thrive through uncertainty and rapid iteration

has experience in:

  • designing scalable systems and processes

  • multi-sourced data sets

  • writing technical requirements

  • collaborating with dev teams

  • maintaining quality while supporting rapid growth

  • building data infrastructure and visualization

  • startup experience is preferred