Data Analyst

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About Figure 

Figure is transforming the trillion dollar financial services industry using blockchain technology. 

In three short years, Figure has unveiled a series of fintech firsts using the Provenance blockchain for loan origination, equity management, private fund services, banking and payments sectors - bringing speed, efficiency and savings to both consumers and institutions. Today, Figure is one of less than a thousand companies considered a unicorn, globally.

Our mission requires us to have a creative, team-oriented, and supportive environment where everyone can do their absolute best. The team is composed of driven, innovative, collaborative, and curious people who love architecting ground-breaking technologies. We value individuals who bring an entrepreneurial mindset to every task and will embrace our culture of innovation. 

Every day at Figure is a journey in continuous learning yet a daily focus on getting work done that makes a difference. Join a team of proven leaders who have already created billions of dollars in value in the FinTech space!

Forbes America’s Best Startup Employers

Forbes Top 50 Blockchain Companies

Figure Series D Announcement

About the Role

The Data Analyst is a key team member supporting the business with reports and analytics to make quality, data-driven decisions. The Analyst will use advanced data modeling, predictive modeling, and analytical techniques to interpret key findings from company data.  We are looking for a driven, data-loving, team player that will jump in and thrive in a fast-paced startup environment.

What you'll do

  • Partner closely with data and business teams and support them with high-quality reporting and analytics.
  • Be a champion for data accuracy and consistent reporting.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
  • Use both descriptive and predictive modeling to increase and optimize customer experiences, revenue generation, underwriting as well as other business outcomes.

What we're looking for

  • 2-4+ years of professional experience manipulating, processing, and extracting value from large, complex datasets… all while making insights easy to consume for a general audience.
  • Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on-premises and cloud-based data sources.
  • Strong SQL skills; the ability to perform effective querying involving multiple tables and subqueries is the bare minimum.
  • Advanced Tableau development skills with a track record of developing visualizations that drive and optimize business outcomes.
  • Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
  • Excellent communication skills for coordinating across teams. There is a heavy emphasis on cross-functional work and you must be able to deal with ambiguity and rapidly shifting priorities.
  • Experience shaping questions asked by the broader business and answering them; these data-driven answers will facilitate and influence product strategy.
  • Ability to thrive and succeed in a startup environment.
  • A degree in Statistics, Mathematics, Economics, or other quantitative field is preferred.

Bonus Points:

  • Fintech experience
  • Previous experience with Google Cloud.
  • Understanding of relational modeling and performance tuning along with the ability to write your own functions and/or stored procedures.
  • R and/or Python coding skills.
  • Hungry to learn and grow, especially from mistakes (we all make them)!
  • Unsolved puzzles irk you.
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Location

650 California Street, San Francisco, CA 94108

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