Manager, Analytics Engineering

About OnePay

OnePay is a consumer financial services app with an exceedingly simple mission: to help people achieve financial progress.

Tens of millions of Americans today are unbanked or underbanked, meaning they don’t have enough money in savings to cover a minor emergency. They pay too much in fees, don’t have access to credit at affordable rates, and have little ability to grow their wealth. OnePay’s vision is to create a single app for consumers to save, spend, borrow, and grow their money, bringing our mission to life with simple and accessible banking, credit, and payments products that deliver a best-in-class experience to millions of customers. Our products include:

• Checking and high-yield savings accounts

• Domestic and international peer-to-peer payments

• Credit Builder and credit score monitoring

• Digital wallet / contactless payment solutions

• Buy-now-pay-later installment loans at Walmart

Why do we have a right to win? We have the backing of Walmart (a Fortune 1) and Ribbit Capital (a preeminent fintech investor), are deeply embedded with the distribution of the world’s largest omnichannel retailer, and have an industry-leading multi-product value proposition — all in addition to having some of the best people and talent in the industry.

There’s never been a better time to build a category-defining business and there has rarely been a team better positioned for the opportunity. Join us!

The role

As an Analytics Manager, your mandate is to create a next generation analytics platform. This role will impact OnePay's vision by enabling the company to monitor and analyze business leading to sustainable and disciplined business outcomes. You will work closely with many teams including Data Engineering, Product Analytics, Data Science, Product and analysts across the company. The position reports to Head of Analytics

This role is responsible for: 

• Developing and maintaining our analytical environment including data marts that drive actionable analytics insights across the company

• Building data solutions including new pipelines, dashboards, data marts and ad hoc data pulls to address business asks coming from variety of stakeholders

• Setting the vision for the use of analytics across the enterprise and evangelizing a data driven philosophy for decision making.

• Leading and developing a team of high performing analytics engineers to achieve the above

• Additional duties as assigned by your manager

You bring

• Expert Career (5-10 Years);  Preferred  3+ years of experience in consumer financial companies.

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

• Experience with modern data stack (Databricks / DBT / Monte Carlo or equivalents)

• Experience in owning growing and mature analytical environments

• Proven ability to work cross functionally across business to identify data needs and deliver right sized outcomes

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

Pay Transparency

The estimated annual base salary for this position ranges from $150,000 to $200,000. Pay is generally based upon the level, complexity, responsibility, location 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.

We use Covey as part of our hiring process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on May 31, 2024.

Please see the independent bias audit report covering our use of Covey here.

Standard Interview Process

• Initial 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].