Data Analyst

  • Full Time
Job expired!

About ONE

ONE's mission is simple - financial progress. We’re achieving this by creating straightforward solutions to assist our customers in saving, spending, and growing their money - all in one place.

The U.S. consumer today deserves better. Today, millions of Americans can’t access credit, amass savings or wealth, and are left to manage their financial lives through numerous disconnected apps. Almost a quarter of U.S. adults are unbanked or underbanked and approximately 80% of fintech users rely on multiple accounts to manage their finances.

What makes us unique? We are backed by a leading fintech investor (Ribbit) and the world’s largest retailer (Walmart), maintain the agility and independence of a startup, and employ a robust (and expanding) roster of world-class talent.

There’s never been a more opportune time to build a business that assists people in making financial progress. Come build with us!

The role

As a member of the Operations Analytics team at ONE, your task is to generate insights that shape the strategy of our customer service experience through creative problem-solving and data-anchored decision-making. You'll collaborate with key stakeholders to identify the problem, devise a framework to dissect it, and employ data to create a business proposal. Success requires a passion for managing complex problems endemic to operating in the fintech industry related to Operations, extending across front and back office functions, automation capabilities, and agent staffing. 

This role is responsible for:

  • Generating data insights across the Operations domain that lead to actionable business solutions. 

  • Effectively communicating business insights and product enhancement recommendations to senior leadership and stakeholders. 

  • Adding value through partnerships with Operations, Product, Tech, Data Science, Data Engineering, and Finance.

  • Contemplating the second order impacts of their analysis and clarifying the impacts to different business areas.

You bring

  • Mid-career (3-7 Years).

  • Experience in an Operations Analytics role or equivalent, preferably within financial services.

  • An act-like-an-owner mentality: decisive, collaborative, and prioritizing ruthlessly.

  • A proven history in the use of quantitative analysis to affect key business decisions, and also have an excellent ability to communicate the results of complex analyses effectively.

  • Experience working in an analytical scripting language (SQL, Python) and a solid understanding of common statistical methods and applications such as experimentation, regression, and probabilities.

  • Strong written and verbal skills, including the capability to communicate technical subjects to non-technical audiences, like stakeholders and executive leadership.

  • A strong analytical aptitude, and the ability to rapidly translate complex business processes into understandable analyses and decision points. 

  • The capacity to work independently and collaborate with members of other product departments to research issues and reflect the findings of these researches on the product roadmap.

  • Curiosity and a desire to discover key insights even in uncertain environments.

  • The Triple H Factor: Humble, Hungry and Honest.

Leveling Philosophy

In order to thoughtfully expand the company and avoid downstream inequities, we've adopted a flat titling structure at ONE. Although 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 internally unless in a position which manages a team. Internal titles generally include your specific functional responsibility, such as engineering, product management, or sales, and frequently include additional descriptors to ensure role and position clarity 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 varied perspectives and experiences. We are an equal opportunity employer and value diversity in 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 needing special assistance or accommodation during the interview process or accessing our website may contact us at [email protected].

For additional queries about our interview process, please check out our .