CreditNinja is a FinTech company founded in 2017 by veteran serial entrepreneurs who were part of the core team behind Enova (NYSE:ENVA), a leading publicly traded consumer financial services company. CreditNinja's mission is to provide hardworking Americans with financial solutions when unexpected expenses arise. Unlike traditional banks, CreditNinja works hard to ensure that people with less-than-perfect credit can have quick access to the money they need. Headquartered in downtown Chicago, we are a lean and innovative team seeking like-minded talent to help us disrupt the consumer finance industry.


CreditNinja is looking for a Business/Data Analyst II to join a team of analytics and machine learning experts. The hire will be responsible for conducting exploratory analysis to provide data driven insights, working with business units and senior management to define key performance indicators (KPIs) and building dashboards to monitor portfolio performance using these KPIs. The ideal candidate is a self-directed individual who is excited to think out of the box to come up with new ideas using data driven insights. The individual must be comfortable working with cross functional teams. This is an exciting and rare opportunity to join a well-capitalized startup on the ground floor and help drive our success.


        Conduct analysis using advanced data mining tools to support risk management, operations and marketing strategies and present results in a clear manner to senior management

        Work with business units and senior management to design and build key metrics, reports and capabilities that allow for more effective and transparent execution of business goals

        Proactively identify improvement opportunities by monitoring key performance indicators and drive initiatives to completion

        Work with cross-functional teams to explore new ways of finding insights from data and provide recommendations

        Conduct exploratory research into our data, our metrics, and how we can better use these commodities

        Look for improvement and automation opportunities with business impact to drive maximum value from our existing data assets & tools

        Work with external vendors to prioritize and manage feature evaluation and data studies


        A Bachelor's, Master's or PhD in math, statistics, computer science, engineering or related field

        5+ years of experience with data analytics and statistical modeling

        Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), as well as working familiarity with a variety of databases

        Strong quantitative and problem-solving skills with key attention to detail

       Strong project management and organizational skills and the ability to work independently in a fast-paced, quickly changing environment

        Ability to make large/complex data sets more accessible/understandable/usable through clean data models and data visualization.

        Experience supporting and working with cross-functional teams in a dynamic environment

        Applicants must be currently authorized to work in the U.S. on a full-time basis



        Experience working with specialty finance or FinTech

        Programming experience with Python

        Start-up experience



        Competitive salary and benefits package, including material equity grant

        Casual dress policy

        Fun, fast-paced work environment

        Dynamic start-up culture

        Ability to make an immediate impact in a growth stage company

        Convenient downtown Chicago office located in the heart of the city

        Equal opportunity employer