Senior 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 dont have enough money in savings to cover a minor emergency. They pay too much in fees dont have access to credit at affordable rates and have little ability to grow their wealth. OnePays 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 worlds 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.

Theres 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 ONEs 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.

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

Required Experience :

Senior IC

Key Skills

Adobe Analytics,Data Analytics,SQL,Attribution Modeling,Power BI,R,Regression Analysis,Data Visualization,Tableau,Data Mining,SAS,Analytics

Employment Type : Full-Time

Experience : years

Vacancy : 1