Analytics Engineer

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!

The Role: 

Join ONE as a Analytics Engineer to master the art of transforming large datasets into clarity. In this pivotal role, you will harness vast amounts of internal and external data to accelerate ONE’s decision-making processes. You will craft intricate data models, engineer scalable and efficient data pipelines, and develop high-fidelity data marts and dashboards. Your work will empower stakeholders across the company to leverage insights that drive strategic business outcomes.

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.

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