About One
One’s mission is simple - to help customers achieve financial progress. We’re doing this by creating simple solutions to help our customers save, spend, borrow, and grow their money – all in one place.
The U.S. consumer today deserves better. Millions of Americans today can’t access credit, build savings or wealth, and are left to manage their financial lives through multiple disconnected apps. Almost a quarter of U.S. adults are unbanked or underbanked and roughly 80% of fintech users rely on multiple accounts to manage their finances.
What makes us unique? We are backed by a preeminent fintech investor (Ribbit) and the world’s largest retailer (Walmart), maintain the speed and independence of a startup, and employ a strong (and growing) collection of world-class talent.
There’s never been a better moment to build a business that helps people achieve financial progress. Come build with us!
Key Responsibilities:
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.
What 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.
Pay Transparency
The estimated annual base salary for this position ranges from $135,000 - $150,000. 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.
Leveling Philosophy
In order to thoughtfully scale the company and avoid downstream inequities, we’ve adopted a flat titling structure at One. Though we may occasionally post a role externally with a prefix such as “Senior” to reflect the external level of the position, we do not use prefixes in titles like that internally unless in a position which manages a team. Internal titles typically include your specific functional responsibility, such as engineering, product management or sales, and often include additional descriptors to ensure clarity of role and placement within our organization (i.e. “Engineer, Platform”, “Sales, Business Development” or “Manager, Talent”). Employees are paid commensurate with their experience and the internal level within One.
Inclusion & Belonging
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 and value diversity at our company. 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].
United States
