Marketing Analytics Lead

About OnePay

OnePay is the consumer fintech trusted by millions of Americans to make money better.

Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.

We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.

We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.

But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:

• Ready to run

• Hungry and driven by urgency

• Exceptional at what they do, with low ego

• Comfortable operating in motion

The role

This role is responsible for:

• Own full-funnel marketing analytics from paid media through lifecycle journeys partnering directly with Analytics/ML, Growth and Product Marketing leadership.

• Lead and scale a small, AI-augmented analytics team using AI tools to automate reporting, accelerate ad-hoc analysis, and free the team for higher-value experimentation and strategy work.

• Run our marketing test-and-learn agenda translating results into clear insights and recommendations to grow the business.

• Partner with the Machine Learning (ML) team to evolve our MTA, MMM and incrementality frameworks to measure performance and brand impact.

• Manage data/martech vendor relationships and evaluate new tools and data sources to continue to level up our product

You bring

Must-Have

• 10+ years in marketing analytics, growth analytics, or performance marketing.

• 4+ years of people leadership experience

• Attribution modeling and marketing measurement (incrementality, MMM, or multi-touch attribution).

• Strong SQL; experience with large datasets and modern data warehouses.

• Track record improving CAC, LTV, and channel efficiency.

• Paid media analytics across multiple channels (SEM, Paid Social, Affiliates, App).

• Experiment design and interpretation (A/B testing).

• Cross-functional collaboration in a matrixed environment.

Nice-to-Have

• Fintech, lending, or regulated-industry experience.

• CRM/lifecycle marketing analytics (email, in-app, push).

• Martech/CDP platforms and vendor evaluation.

Education

• Bachelor’s degree in a quantitative or business field (Finance, Economics, Statistics, Analytics, or similar). Advanced degree a plus.

Pay Transparency

The estimated annual base salary for this position ranges from $200,000 to $230,000. Pay is generally based upon the level, complexity, responsibility, and job duties / requirements of the specific position. We then source candidates with the requisite skills, expertise, education, training, and experience. If you are selected for an interview, please feel welcome to speak to a Talent Partner about our compensation philosophy and other available benefits.

What it’s like working @ One

• Competitive cash

• Benefits effective on day one

• Early access to a high potential, high growth fintech

• Generous stock option packages in an early-stage startup

• Remote friendly (anywhere in the US) and office friendly - you pick the schedule

• Flexible time off programs - vacation, sick, paid parental leave, and paid caregiver leave

• 401(k) plan with match

Standard Interview Process

Our process varies by role. Most candidates go through:

• AI-assisted initial screen

• Interview with Talent Partner

• Technical or Hiring Manager Interview

• Team Interview

• Executive Interview

• Offer!

Equal Employment Opportunity

To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at [email protected].