Principal Statistical Analyst / Data Scientist

Location: Brook Park, OH, United States
Responsibilities 
Statistical Analysis / Data Science (65%):
  • 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.
  • Majority of time spent coding is on creation of new code
  • Translating analytical results, presenting to C-Level executives and below, and making recommendations for improvements in the areas of application
  • Creation of extremely advanced technical documents for auditors and government agencies as appropriate
  • Identify data quality issues and drive their resolution with whoever is appropriate for the given issue
  • Creates advanced transformations independently
  • Formally train less experienced Analysts.
  • Develop formal training materials.
  • Apply skills learned in previous roles to the business using SAS with great autonomy.
  • Mentors and provides technical supervision to Senior level analysts
  • Collaborates strategically with executives outside of Analytics
  • Focused primarily on large scale high-value projects that may also have legal sensitivity or scrutiny
  • Applies advanced techniques for handling interactions independently
 
Technical Supervision / Training / Development (25%)
  • Technically supervising, mentoring, coaching, and training all less senior analysts on advanced statistical techniques and how to apply them to business problems 
 
Organization Analytics Strategy / Direction (10%)
  • Assist Associate Director and Director of Analytics in the identification and quantification of applications of analytics and development of project charters and plans as appropriat


Qualifications 
Education & Experience Requirements:
  • MS degree in Analytics, Statistics, or Mathematics fields and 12+ years of Analytics experience or PhD degree and 10+ years of Analytics experience
  • 5+ 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 in 2 or more business units/focus areas (Operations, Supply Chain, Real-Estate, Pricing, Marketing, Credit Risk management).
  • Advanced knowledge of the applications of Analytics in all business units/focus areas
  • Must be a master storyteller able to explain complicated statistical analyses, techniques, and results to non-statistical audiences of C-level Executives and below.
  • Capable of working and communicating directly with C-level Executives and below to scope the technical needs of large scale, high-value, technically complex projects.
  • Capable of developing, training, mentoring, and technically supervising all levels of analysts
  • Expert in writing extremely large and complex technical documents for auditors or government

Benefits, Privileges and Growth Opportunities
  • Offering 31+ Benefits and Privileges to include medical, dental, vision, 401k, cash balance retirement plan and more.
  • Equal Opportunity Affirmative Action Employer
  • Over 100 years of success is an indication of the stability the workforce enjoys.
April A. Estes
Senior Recruiter
720-439-2609 Direct
april@proenlist.com 
www.proenlist.com 

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www.linkedin.com/in/aprilaestes
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