Data Analyst
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.