Enova

Enova

Strategy & Operations, Sr. Analyst (Hybrid)

Chicago, IL · Senior · Full-time

Work authorization required$65k-$90kDetected 20 days ago
SQLMachine LearningData AnalysisCommunicationCollaboration

About the role

  • We don't wait for the data to tell us there's a problem
  • we hunt for the insights that keep us ahead of the curve.
  • The Observation: You identify a 3-month decline in how often customers take our loan offers.

Responsibilities

  • Operate as an Owner: Don't just manage projects
  • Drive Strategic Alignment: Present your findings to secure buy-in for initiatives that improve customer experience and grow the business.
  • Own the "End-to-End": Take projects from a "hunch" to a fully implemented process.
  • The "So What": Rather than just asking for "more people," you build a predictive staffing model. You partner with Sales Ops to define a "Golden Ratio" of offers-per-rep and integrate marketing forecasts to predict staffing needs 3-6 months in advance.
  • You treat the P&L as if it were your own business.
  • Our team is big enough to have the resources to scale, but small enough that a single analyst has the autonomy to identify a problem, build the solution, and own the result.
  • Project Spotlight: Proactive Sales Capacity Modeling This is an example of the type of work you will own in this role:
  • This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results.
  • We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks-in order to create accessible credit for millions.

Requirements

  • Bachelor's degree in Engineering, Business, or Finance.
  • 3-6 years of work experience in management consulting, data analytics, or business operations.
  • Our S&O team comes from a variety of backgrounds but are successful because of their ability to problem solve and think analytically.
  • Self-Sufficiency: A proven track record of identifying business problems and driving solutions without being prompted.

Nice to have

  • Technical Fluency: Comfort with data intensive environments and independent data exploration.
  • Experience with SQL, BI tools, and analytical models preferred.

Skills

  • Use data (SQL, BI tools, analytical models etc.) to diagnose problems, but use your intuition to solve them.

Compensation

  • The budgeted annual salary range for this position is $65,000 - $90,000.
  • Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown.
  • Additional compensation for this role may include a bonus.
  • #BI-Hybrid #LI-Hybrid #LI-JY1
  • Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results.
  • 401(k) matching plus a roth option (U.S. Based employees only)

Benefits

  • Health, dental, and vision insurance including mental health benefits
  • PTO & paid holidays off
  • Paid parental leave
  • Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform.

Company info

  • You identify a 3-month decline in how often customers take our loan offers.
  • You realize that while we are generating interest, we are failing to convert it into revenue.
  • The Observation: You identify a 3-month decline in how often customers take our loan offers. You realize that while we are generating interest, we are failing to convert it into revenue.
  • Analyst, you will directly support one of Enova's core P&Ls and tackle projects that ensure we are operating at peak performance.

Visa & Work Authorization

  • However, we are not able to sponsor visas or take over sponsorship at this time.

This listing is sourced directly from Enova's careers page and normalized into a canonical job model.