Oportun. Inc

Director, Business Strategy & Analytics

Req No.
2021-10743
Department
Data & Analytics
Type
Regular Full-Time
Remote / WFH
Yes
Job Locations
US-TX-Frisco

Company Overview

ABOUT OPORTUN

 

Based in Silicon Valley, Oportun (Nasdaq:OPRT) is dedicated to financial inclusion for the estimated 100 million people in the U.S. who are shut out of the financial mainstream because they don’t have a credit score or have been mis-scored by a traditional credit bureau. As a Community Development Financial Institution (CDFI), Oportun’s mission is to provide inclusive, affordable financial services that empower its customers to build a better future. 

 

Since our first loan in 2006, Oportun has made over 3.8 million loans totaling over $9 billion to customers across 12 states. Oportun’s customers have saved an estimated $1.7 billion in interest and fees compared to the alternatives typically available to them. Oportun has helped more than 860,000 people establish a credit history for the first time. 

 

Oportun was named one of Fast Company’s Most Innovative Companies in the World for 2020, a TIME Magazine 2018 Genius Company in recognition of its impact in helping to reinvent the future of lending. Oportun was recently named one of the Top Workplaces for 2019 and 2020 by the Bay Area News Group and recognized as the Best Consumer Lending Product by FinTech Breakthrough. Oportun previously made several fastest-growing lists, including Inc. 5000’s Fastest-Growing Private Companies in America and the San Francisco Business Times’ Fastest Growing Private Companies. 

 

Overview

The Director leads a team responsible for driving the P&L growth for Personal and Auto loans business of Oportun.  This highly visible role works very closely with the GM of the Personal & Auto loans business, as well as leaders from various functions across the business e.g.   Risk, Marketing, Retail, Operations, etc.  As we aspire to grow our business, this newly crafted function will help the GM drive an aggressive growth agenda. It is expected to be a very dynamic role.  A successful individual in this role will be able to develop and execute cross-functional strategic initiatives to drive the growth and create a world-class experience for our customers.  The role will be responsible for the entire analytics lifecycle, from ensuring proper experimental design and implementing timely tracking, to making sure actions are driving impact and a positive change, to ensuring learnings and insights are used to continuously improve business profitability.  Over time, we expect that the candidate will exhibit tremendous value to the bottom-line and be able to build out the team to continue supporting growth aspirations.

 

Responsibilities

  • Own GM’s P&L commitments to deliver – monthly, quarterly and annual
  • Deeply understand the drivers of P&L and have a continuous viewpoint on the key leverage areas for the business
  • Prepare business performance insights in a succinct format to share with the GM as well as other key leaders in the company
  • Develop analytically-driven insights to uncover revenue and expense opportunities and make data-driven decisions.
  • Work hand-in-hand with senior leaders and cross-functional partners to develop solutions for areas in which metrics are lagging plan or could perform better
  • Influence key stakeholders (in operations and at the enterprise level) on making changes to the operational model to improve performance

 

Qualifications

  • Ability to work in a fast-paced environment and meet aggressive deadlines
  • Must be a self-starter, preferred hands-on approach and proficient problem solver
  • Excellent verbal and written communication skills and can partner with multiple stakeholders (e.g., Risk, Marketing, Product, Operations, etc.) including senior executives
  • A proven track record for working well in a matrix organizational structure and ability to drive initiatives across teams a low ego
  • Must be able to attract, mentor, and grow high-performing teams
  • Master's Degree in Statistics, Economics, Mathematics, Business, Engineering, Operations Research, or Physics. PhD in a quantitative field is a plus.
  • 8+ years of business strategy and analytics experience
  • 6+ years of experience in comparable role in top business consulting or high growth companies,
  • 4+ years people management experience
  • Excellent SAS and SQL (or similar language) programming skills. Experience with R, Python or Hadoop is a plus.
  • Advanced Microsoft Excel and PowerPoint Skills

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