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Senior Statistical Analyst

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.



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



Nesco Resource is an equal employment opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status, or any other legally protected characteristics with respect to employment opportunities.
 

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