Analytics Engineer

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

• Design and implement analytical data models optimized for performance at scale, ensuring they seamlessly integrate into our dynamic data ecosystem.

• Orchestrate sophisticated data pipelines to establish efficient, secure data flows.

• Collaborate directly with business stakeholders to convert complex datasets into actionable insights that propel ONE forward.

• Develop and enforce syntactic, performance, and testing benchmarks for scalable analytical deployments.

• Mentor junior team members, fostering a culture of excellence and continuous learning within the analytics team.

• Lead the evolution of ONE’s data stack to meet the growing demands for scale and self-service capabilities, maintaining a cutting-edge technological environment.

• Partner with the Data Engineering team to ensure efficient data integration and system performance across the board.

You Bring

• Proven Expertise: At least 5 years in analytics, with a deep understanding of dbt, Airflow, or similar tools.

• Technical Mastery: Advanced proficiency in SQL and Python. Comfortable with version control systems like Git.

• Complex Problem Solving: Demonstrated experience in designing and building sophisticated analytical models and data architectures.

• Cross-functional Collaboration: A track record of partnering effectively across various teams to address multi-faceted data challenges.

• Strategic Communication: Ability to articulate complex concepts to technical and non-technical audiences alike.

• Curiosity and Drive: A relentless desire to explore underlying factors and implications, paired with an ownership mindset that thrives on proactive engagement and execution.

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

• 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].

Originally posted on Himalayas