Senior Associate, Business Operations & Analytics (Fintech)

TL;DR

Senior Associate, Business Operations & Analytics (Fintech): Driving data-informed decision-making across critical business initiatives with an accent on carrier growth, product development, and operational efficiency. Focus on designing A/B experiments, leveraging machine learning models for deep analysis, and scaling user acquisition strategies for a high-growth super app.

Location: Must reside in AZ, CA, CO, FL, GA, IL, MA, NC, NJ, NV, NY, OR, TN, TX, UT, VA, or Ontario, Canada.

Salary: $130,000–$150,000 + Equity

Company

A pre-IPO fintech startup building an AI-powered super app to simplify car ownership and asset management, serving over 5 million customers.

What you will do

• Partner with marketing, product, and business development teams to integrate customer performance insights into acquisition strategies.
• Lead the design, execution, and analysis of A/B experiments to inform product and business strategies.
• Define and test levers to drive profitable and scalable user acquisition and partnership growth.
• Identify opportunities to automate manual processes and optimize operational efficiency.
• Leverage advanced machine learning models to conduct in-depth analyses and extract actionable insights.

Requirements

• Must reside in AZ, CA, CO, FL, GA, IL, MA, NC, NJ, NV, NY, OR, TN, TX, UT, VA, or Ontario, Canada.
• Bachelor’s degree in a quantitatively or intellectually rigorous discipline.
• 2+ years of management consulting experience from a top firm (McKinsey, Bain, BCG preferred) or relevant business analysis/operations experience.
• High level of comfort with SQL and complex data analysis.
• Strong problem-solving framework and ability to communicate with stakeholders from front-line employees to C-suite.

Culture & Benefits

• Comprehensive benefits package including health, dental, and vision coverage.
• 401(K) (U.S.) or RRSP (Canada) plan with employer matching.
• Paid time off and paid parental leave.
• Equity opportunities as part of the total rewards package.
• Data-driven culture with significant investment in data infrastructure and engineering.