DESCRIPTION
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 Sr. Data Analyst 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.
KEY RESPONSIBILITIES:
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
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
REQUIREMENTS
A Bachelor's, Master's or PhD in math, statistics, computer science, engineering or related field
3+ years of experience with data analytics and statistical modeling
Strong 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
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
NICE TO HAVE
Experience working with specialty finance or FinTech
Data visualization experience
Programming experience with Python
Start-up experience
BENEFITS
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