Marketing Analytics - Lifecycle

One; United States; Remote; USD 90,000 - 150,000; Full time

Benefits offered by this job

Competitive base salary

Stock options

Health benefits from Day 1

401(k) plan with company match

Remote-friendly (US) and flexible time

Growth opportunities

Job summary

OnePay is building a data-driven lifecycle marketing analytics function. This role will develop measurement infrastructure, attribution models, and actionable insights to optimize campaigns and product engagement.

You’ll partner with marketing, product, engineering, and data teams to connect activity to outcomes and influence strategic decisions. With strong SQL and AI capabilities, you’ll drive advanced analyses and predictive insights, communicating findings to senior leadership and steering

Qualifications

• 3-7 years of experience in marketing analytics.
• Hands-on experience with attribution models, measurement frameworks, A/B testing, and campaign optimization.
• Advanced SQL and AI skills; ability to independently pull and analyze complex datasets.
• Strong analytical thinking and problem-solving; ability to derive insights from ambiguous questions.
• Intellectual curiosity to look beyond the ‘what’ and answer the ‘why’.

Responsibilities

• Analyze lifecycle marketing (LCM) performance and translate findings into actionable insights.
• Develop data infrastructure, measurement frameworks, and attribution methodologies.
• Partner with marketing, product, engineering, and data teams to improve measurement capabilities.
• Leverage AI-powered tools to accelerate analysis and validate predictive insights.
• Share insights with senior leadership to influence business direction.

Skills

Analytical thinking

Problem-solving

Intellectual curiosity

Ownership mindset

Action-oriented

Tools

SQL

AI tools

A/B testing

Job description

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

As a member of the marketing analytics team, you'll help build the data infrastructure and analytical capabilities needed to drive smarter lifecycle marketing decisions and business impact at OnePay. You'll focus on establishing the measurement and attribution frameworks needed to understand how lifecycle marketing impacts customer behavior, product engagement, and business outcomes. You'll work through an evolving data landscape, connecting customer interactions across marketing and product to uncover insights and identify opportunities to optimize LCM. You'll partner closely with marketing, product, engineering, and data teams to translate data into actionable recommendations and help shape how OnePay measures and optimizes its marketing efforts.

In this role, you will:

• Analyze LCM performance, identify opportunities to optimize individual campaigns and the broader customer journey, and translate findings into actionable insights that drive business impact.

• Develop the data infrastructure, measurement frameworks, and attribution methodologies needed to understand the impact of lifecycle marketing across campaigns, channels, and product interactions.

• Partner cross-functionally with marketing, product, engineering, and data teams to improve measurement capabilities, connect marketing activity to product outcomes, and inform broader business and marketing strategies.

• Leverage AI-powered tools and techniques to accelerate analysis, develop and validate predictive insights, and push the boundaries of what’s possible in marketing analytics.

• Share insights and recommendations to senior leadership and stakeholders to influence the direction of the business

You Bring

• 3-7 years of professional experience in marketing analytics with experience with lifecycle as a plus.

• Demonstrated track record in marketing analytics, including hands‑on experience with attribution models, measurement frameworks, A/B testing, and campaign optimization.

• Advanced SQL and AI skills, with the ability to independently pull and analyze complex datasets.

• Strong analytical thinking and problem‑solving skills — you can go from ambiguous questions to clear insights.

• Intellectual curiosity to look beyond the ‘what’ and answer the ‘why’.

• An act‑like‑an‑owner mentality. We have a bias toward taking action.

What We Offer

• Competitive base salary, stock options, and health benefits from Day 1

• 401(k) plan with company match

• Remote-friendly (US), flexible time off (FTO), and opportunities for growth

• A high‑growth, mission‑driven, inclusive culture where your work has real impact

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 [e-mail].