Demo

Data Analyst

Possible
Seattle, WA Full Time
POSTED ON 2/4/2025
AVAILABLE BEFORE 3/5/2025

We’re on a mission to end the debt cycle—and help our customers and their communities unlock economic mobility for generations to come. Join the team that’s making our goal a reality.


At Possible, we’re building a new type of consumer finance company. One that helps our customers stay out of debt rather than profits from them staying in it. As a Public Benefit Corporation, it's our mission and responsibility to help communities unlock economic mobility—with affordable credit products designed to improve financial health.


Founded in 2017, our lead VCs are Canvas and Union Square Ventures. We are a distributed company with a global workforce, headquartered in Seattle, WA. We have over 100,000 reviews on the App Store and an average rating of 4.8 stars. Just as we are committed to building a new type of consumer finance company, we are equally dedicated to the employee experience.


Since our founding, we’ve redefined how people approach small-dollar loans—delivering over one billion dollars in funding to more than one million customers, issuing over four million loans, and saving our customers more than five hundred million dollars.


Role and Responsibilities

We are looking for a Credit Risk Analyst to drive our Direct Marketing activities. This person will be responsible for partnering with growth marketing to develop and execute our regular targeted direct marketing activities; executing monthly campaigns and population selection strategy. Success ultimately lies in optimizations of our direct marketing strategies - inclusive of assessing new data vendors, test design and execution, implementing new analytic frameworks, and optimizing existing strategies to drive profitable growth.


In addition, this Analyst will be responsible for developing reporting on the outcomes of our marketing campaigns. This person must be comfortable serving as a key thought leader and as decision owner. Strategic decisions will require balancing growth, risk and profitability.

We are looking for someone who is hands on, creative, and self motivated. Someone who enjoys solving complex problems using data driven approaches, and who brings a knowledge of direct marketing and prescreened mail campaigns.


This role will report into the credit and data function, but primarily the growth Marketing Team with substantial opportunity for future growth within the company in concert with driving business expansion.


Job responsibilities are as follows:

  • Campaign Execution and Optimization
  • Leverage predictive models (risk and response) to devise selection criteria for targeted offers. This is inclusive of determining eligibility, channel selection, and approve/decline criteria.
  • Help deliver profitable growth through the development of new strategies and the optimization of existing strategies for direct mail and digital acquisition channels through the assessment of credit risk and P&L drivers
  • Program Expansion and Test Design
  • Establish a robust infrastructure and learning plans that test into new customer acquisition and direct marketing channels including, exploring new FCRA and non FCRA data sources, scores, and products, as well as approaches to combining data sources, and considering multi-channel marketing strategies.
  • Partner with Marketing and Data scientists to develop testing (A/B testing, design of experiments) to further refine our targeting, creative, channels, and contact frequency.
  • Performance Monitoring
  • Develop reporting to monitor and validate campaign performance and various Key Performance Indicators (KPIs), inclusive of acquisitions costs, Response, and Credit Risk performance as well as overall Customer Lifetime Value.
  • Drive analysis of root cause for variance from performance (risk and response) expectations.
  • Communication and Collaboration
  • Develop presentations to share insights and recommendations
  • Collaborate across multiple departments such as Marketing, Data source, Campaign Execution, etc. to achieve effectiveness and efficiency and deliver on business goals


Requirements

  • Bachelor’s Degree in an analytical field of study: mathematics, statistics, physics, engineering, computer science, etc.
  • 3-4 years in an analyst role working on data-driven problem solving.
  • 2-3 years of analytical experience in direct marketing for financial services strongly preferred
  • Strong data analysis skills using Python and/or SQL,
  • Experience working with DataBricks strongly preferred
  • Strong analytical and critical thinking skills and comfort with making data driven decisions
  • Ability to organize and manage multiple priorities with a sense of urgency
  • Strong attention to details
  • Strong communication and presentation skills, leadership skills, a high level of initiative and time management skills
  • Self-starter, who can work independently with a high degree of organization on several projects at one time.
  • Intellectual curiosity and creativity with a drive to seek out and propose new ideas/solutions.
  • Ability to quickly assimilate and analyze large amounts of information.
  • Knowledge of credit risk, financial analysis and profitability drivers.


Location and Benefits:

We prefer people located in Seattle or those willing to relocate. We have a hybrid work style, with the team meeting at our downtown office a minimum of twice weekly.

We offer a competitive salary range of $120,465 to $127,170 annually, with significant equity potential based on experience and qualifications. Our comprehensive benefits package includes health, dental, and vision insurance, a 401(k) plan, paid time off, and a remote work environment.


Possible Finance is dedicated to financial fairness and community empowerment. We welcome diverse perspectives and experiences to help us achieve our mission of unlocking economic mobility for generations to come.


Learn more about us as a Public Benefit Company.

*Possible uses fee and payday loan usage information from the state regulatory agencies to arrive at the Fees Saved Calculation. Savings based on the maximum fees Possible could have charged customers over the typical payday loan term, including late fees and insufficient funds fees. Results will vary.

Salary : $120,465 - $127,170

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