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Senior Statistical Analyst

Overview
Credit First National Association is a private label credit card bank and the consumer credit division of Bridgestone Americas. The Bridgestone Americas family of enterprises, including CFNA, is comprised of more than 50 production facilities and 55K employees throughout the Americas. We provide the consumer credit solution for the Firestone Complete Auto Care, Tires Plus, and Wheel Works brands, in addition to customized retail credit services for more than 8,000 other tire and automotive retailers nationwide. With competitive interest rates, generous credit limits, and promotional financing, our 4.6 million cardholders enjoy greater purchasing power and financial peace of mind.
At our office in Cleveland, OH, more than 300 professionals gather each day to run a successful private label credit card program. We invest in our community and strongly believe that meaningful commitment to a wide variety of philanthropic organizations builds a better world and a brand that makes us proud.
Position Summary
Senior Statistical Analyst:
This Analyst performs the analyses while also technically supervising less experienced Analysts in those and other techniques as applicable. This role will also communicate effectively on multiple levels, using highly technical language with other Analysts and translating technical results clearly and effectively for Manager-Level and below teammates. Despite this being a technical role, this teammate's business skills are high enough to develop professional relationships with managers outside of Analytics that instill trust in the Analytics methodologies. Performs primarily medium scale statistical analyses or medium scale modeling projects independently.
Responsibilities
Principal Duties:
1. Statistical Analysis / Data Science (95%):
Builds new predictive/descriptive models, evaluate current effectiveness of old models, design experiments/campaigns and analyze the resulting data, perform post-hoc (correlational) analysis when experimental designs (causational analyses) are not feasible and explains the limitations of the results, advises analytical data programmers on quality and infrastructure needs/challenges, etc.
Modify and run code others wrote only when less experienced Analysts are unavailable.
Write code that will be run repetitively.
Write medium size blocks of code that is needed for the scope of work being done.
Translating analytical results, presenting to manager level and below, and making recommendations for improvements in the areas of application
Create and present technical results to business managers.
Creates technical documentation of basic analyses.
Identifies and works with other more experienced analysts on data preparation issues (such as missing values and invalid data)
Creates basic transformations of data independently and intermediate transformations with involvement from more experienced analysts
Applies basic techniques for handling small sample sizes with involvement from more experienced analysts
Applies basic techniques for handling interactions with limited involvement from more experienced analysts
Perform medium scale statistical analysis or medium scale modeling projects independently or in collaboration with other Analysts.
Apply skills learned in previous roles to the business using SAS and further advance business skills.
Depending on prior roles, may require formal training in some topical areas.
Partner with more experienced Analysts on large scale modeling projects.
2. Technical Supervision / Training / Development (5%)
Technically supervising, mentoring, coaching, and training all less senior analysts on advanced statistical techniques and how to apply them to business problems
Qualifications
Education & Experience Requirements:
MS degree in Analytics, Statistics, or Mathematics fields and 3-6 years of Analytics experience or PhD degree and 2-4 years of Analytics experience
2+ years of SAS programming experience in previous roles (SAS not substitutable with any other programming language).
Expertise acquired through prior experience in applying statistical/mathematical techniques and Credit Risk management
Experimental Design
Linear/Logistic Regression
Time Series Analysis
Forecasting
Decision Trees
Must be a proficient storyteller able to explain complicated statistical analyses, techniques, and results to non-statistical audiences of Director-level Executives and below.
Capable of working and communicating directly with Manager-level and below to scope the technical needs of medium scale, medium-value projects and ad-hoc analyses.
Capable of assisting in technically supervising junior level Statistical Analysts / Data Scientists
Benefits, Privileges and Growth Opportunities
We offer over 31 Benefits and Privileges to include medical, dental, vision, 401k, cash balance retirement plan and more.
We are An Equal Opportunity Affirmative Action Employer, in fact, "One of our strengths is found in our commitment to serve a diverse customer population with diverse teams of teammates."
Over 100 years of success is an indication of the stability our workforce enjoys.



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