Analytics Engineering

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!

As a member of the analytics team your mandate is to bring clarity to vast amounts of internal and external data so One can make better data driven business decisions, faster. You’ll do so by building high-quality and scalable ground truth data sets and performing analysis that delivers actionable insights for the business. This role is focused on Customer Operations, spanning front and back office functions, automation capabilities, and agent staffing. Your work will cover data models, data tests, data infrastructure and BI tools.

This role is responsible for:

• Partnering with data engineering, operations, analytics and other stakeholder teams to build data solutions for complex data requirements via data models, queries and dashboards

• Managing our data observability and testing strategy to ensure strong coverage and high data quality

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

• Developing business expertise and proactively identifying areas of improvement for data insights

• Creating reports and dashboards that effectively communicate insights and recommendations to key stakeholders in a clear and concise manner

• 5+ years of analytics engineering experience; consumer financial companies preferred

• Customer operations analytics experience is a bonus: servicing, disputes, fraud, automation, etc.

• Strong proficiency with SQL and Python

• Expertise working with enterprise data warehousing solutions, like Databricks, Snowflake, and BigQuery. We use Databricks

• Professional experience using using a SQL-based transformation solution, preferably dbt (Data Build Tool), to build complex and performant analytical models 

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

• Proven ability to translate data into compelling visualizations with BI tools (Looker, Databricks dashboarding)

• Proven ability to work cross-functionally to translate complex data models into practical business guidance

• 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.

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.

• 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

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.

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].