Product Data Analyst(Ops)
ONE's mission is simple — financial progress. 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 achieve financial progress. Come build with us!
As a Operations Analytics team member at ONE, your mandate is to derive insights that shape the strategy of our customer servicing experience through the use of creative problem solving and data-backed decision making. You’ll work with key stakeholders to define the problem, create a framework to break it down, and leverage data to create a business proposal. To be successful, you’ll need a passion for solving complex problems inherent to working in the fintech industry related to Operations, spanning 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.
Sharing business insights and product enhancement recommendations to senior leadership and stakeholders effectively.
Adding value through partnerships with Operations, Product, Tech, Data Science, Data Engineering, and Finance.
Thinking through 2nd order impacts of their analysis and explaining the impacts to different business areas.
Mid Career (4-7 Years).
Experience in an Operations Analytics role or equivalent, preferably within financial services.
An act-like-an-owner mentality: decisive, collaborative, and ruthlessly prioritizing.
A proven track record in the use of quantitative analysis to impact key business decisions, and also have an impeccable ability to effectively communicate results of complex analyses.
Experience working in an analytical scripting language (SQL, Python) and a concrete understanding of common statistical methods and applications such as experimentation, regression, and probabilities.
Strong written and verbal skills, inclusive of the ability to communicate technical subjects to non-technical audiences, such as stakeholders and executive leadership.
A strong analytical aptitude, and possesses the ability to quickly convert whitespace complex business processes into understandable and easy-to-manage analysis and decision points.
The capacity to work independently and ability to work with members of other product departments in researching issues and reflecting the findings of those researches on the product roadmap.
Curiosity and desire to figure out the key insights even in an uncertain environment.
The Triple H Factor: Humble, Hungry and Honest.
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@example.com.