Business Analyst, CircleUp Growth Partners

San Francisco, CA

CircleUp harnesses the power of machine learning and predictive analytics to discover some of the fastest-growing companies in the consumer & retail sector. Our mission is to help entrepreneurs thrive by giving them the resources and capital they need. We are building a predictive data system called "Helio" to bring the data-driven revolution that has occurred in the public markets to the private markets, starting with consumer & retail.

CircleUp Growth Partners is a consumer venture capital fund, currently investing out of a $125m fund.  We are looking for someone with a passion for using data to drive investment results as a member of our team.

CircleUp has been named one of the Top 5 Most Disruptive Companies in Finance by CNBC, one of the 50 Best FinTech Innovators by KPMG, Top 3 Most Innovative Companies within Data Science by Fast Company and one of America's Most Promising Companies by Forbes. We are backed by top-tier investors including Google Ventures, Union Square Ventures (backers of Etsy/Kickstarter), and the ex CEOs/Presidents of Goldman Sachs, Morgan Stanley, Thomson Reuters, the Stanford Endowment and Capital One.

Location: San Francisco, CA 

Responsibilities:

  • Provide actionable target lists to Partners based on collaboration with them and the Helio product team that maximize their sourcing success
  • Working with CGP Partners, develop materials to support the evaluation of companies by the investment team, identifying opportunities and coaching the team to improve utilization of Helio.
  • Develop processes, dashboards and other tools that increase utilization of Helio by making relevant information available
  • Collaborate with other CircleUp investment teams (e.g., Credit & Systematic) to develop data driven investment ideas
  • Work closely with the Helio Product team to identify and advocate for future Helio enhancements and to test & incorporate new capabilities into the CGP Process

We get really excited about those with:

  • Strong data analysis capabilities, especially using data analysis to drive business decisions
  • Interest & curiosity in investing
  • Proficient with SQL
  • Experience with Python (preferred) or R is a plus
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