Manager, Analytics Engineering
United States (Remote)
Full Time Senior-level / Expert USD 150K - 200K
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 roleAs an Analytics Manager, your mandate is to create a next generation analytics platform. This role will impact One’s vision by enabling the company to monitor and analyze business leading to sustainable and disciplined business outcomes. You will work closely with many teams including Data Engineering, Product Analytics, Data Science, Product and analysts across the company. The position reports to Head of Analytics
This role is responsible for:
Developing and maintaining our analytical environment including data marts that drive actionable analytics insights across the company
Building data solutions including new pipelines, dashboards, data marts and ad hoc data pulls to address business asks coming from variety of stakeholders
Setting the vision for the use of analytics across the enterprise and evangelizing a data driven philosophy for decision making.
Leading and developing a team of high performing analytics engineers to achieve the above
Additional duties as assigned by your manager
Expert Career (5-10 Years); Preferred 3+ years of experience in consumer financial companies.
An act-like-an-owner mentality. We have a bias toward taking action.
Experience with modern data stack (Databricks / DBT / Monte Carlo or equivalents)
Experience in owning growing and mature analytical environments
Proven ability to work cross functionally across business to identify data needs and deliver right sized outcomes
The estimated annual base salary for this position ranges from $150,000 to $200,000. Pay is generally based upon the level, complexity, responsibility, location 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 @ OneCompetitive 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.
Equal Employment OpportunityTo 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. 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.
Tags: Databricks dbt Engineering FinTech Monte Carlo Pipelines
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Flex hours Flex vacation Parental leave Startup environment
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