Analytics Engineer

ONE

Analytics Engineer

This job is no longer open

About ONE

ONE is on a mission to help people live healthier financial lives. We’re doing this by creating simple solutions to help our customers save, spend, 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 live healthier financial lives. Come build with us!

The role

As an analytics engineer, your mandate is to bring order to vast amounts of internal and external data so ONE can make better business decisions, faster. You’ll do so by building complex data models, establishing SQL standards among the broader team, and ensuring our runtimes are efficient and our processes scalable. You will work closely with data engineering, product analytics, and other stakeholder teams to bring this vision to life.

This role is responsible for:

  • Designing and building analytical data models that are performant at scale

  • Orchestrating data pipeline to achieve efficient data workflows

  • Partnering with business stakeholders to deliver insight from complex data 

  • Establishing syntactic, performance, and testing standards for analytical models that can be deployed at scale

  • Mentoring junior members of the team on SQL and tool best practices 

  • Steering evolution of ONE’s data stack to meet scale and self-service demands

  • Partnering with data engineering to ensure efficient, secure, and performant hand-offs between components of the data stack

You bring

  • 4+ years of analytical experience and 1+ year of experience with DBT and Airflow (or equivalents)

  • Strong proficiency with SQL and Python

  • Strong proficiency with version control tools such as  git

  • Experience building complex analytical models (incremental logic, macros, singular tests, etc)

  • Experience designing and implementing architectural models that address data movement across multiple systems and handling of associated dependencies

  • Proven ability to work cross-functionally to solve complex data problems that span multiple tools and systems

  • Proven ability to work independently to solve complex and at times ill-defined problems

  • Proven ability to communicate clearly to technical and non-technical audiences

  • Intellectual curiosity to look beyond the ‘what’ and answer the ‘why’

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

Pay Transparency

The estimated annual base salary for this position ranges from $135,000 to $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.

What it’s like working @ ONE

Our teams collaborate remotely and in our work spaces in New York and Sacramento.

  • Competitive cash

  • Benefits effective on day one 

  • Early access to a high potential, high growth fintech

  • Generous stock option packages in an early-stage startup

  • Remote friendly (anywhere in the US) and office friendly - you pick the schedule

  • Flexible time off programs - vacation, sick, paid parental leave, and paid caregiver leave

  • 401(k) plan with match

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 talent@one.app.

For additional questions around our interview process, please check out our Candidate FAQs.

This job is no longer open
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