Analytics Manager

Richmond, VA

Post Date: 02/20/17 Job ID: 280515 Category: Data Science Salary: $90,000 - 115,000
Title: Analytics Manager
Location: Richmond, VA
Salary: $90,000 - 115,000
Contact: Paul Chatlos, pchatlos@smithhanley.com

Position Description

Our client is looking for experienced analytical modelers and data scientists who are looking to enhance their technical skills, extend an analytics-based competitive advantage and influence business strategy at a fast growing FORTUNE 500 company. With a high-caliber team focused on the company's industry-leading analytics capabilities and a great work/life balance, our Strategy Group offers plenty of room for you to learn and grow.

Whether in a technical expert or supervisory role, a successful Manager candidate will:

-Analyze and/or supervise analysis performed by others on vast amounts of complex pricing-related data, applying statistical methods to identify data integrity issues and to develop/validate predictive models
-Collaborate with other vehicle pricing and statistical modeling experts to identify potential opportunities to improve model performance
-Research innovations and pricing best practices related to data sources and modelling methodologies
-Encourage, challenge and influence others within the Strategy Group and other departments in the development of our modeling capability strategic roadmap
-Benchmark model methodologies and performance by developing alternative models and designing, deploying and monitoring controlled experiments
-Manage projects involving the coding and development of new models, including developing project plans, setting and managing expectations, and delivering results through self and/or others
-Assess the methodologies and processes used to develop and manage models, identifying potential weaknesses and the associated materiality of the risk
-Leverage insights to influence Senior Management and drive business value
-Help recruit and enhance analytical talent across company's Strategy Group

Position Requirements

What are some of the characteristics of an ideal candidate?

-4+ years of experience in a broad range of data science and statistical modeling methodologies
-Passion for using analytics in problem solving
-Demonstrated ability to explain novel and standard modeling methods, both to fellow analysts and other colleagues
-Experience managing model development projects and supporting analytical models deployed within critical business processes
-Strong influencing skills, which are applied effectively at all levels of an organization and across multiple functions
-Record of building and maintaining strong working relationships
-Undergraduate degree in a quantitative discipline (math, statistics, operations research, economics, physics, engineering, etc.)
-Desire to develop into a strong technical leader and/or people manager
-Experience using SQL and Python to analyze big data sets a plus
-Graduate degree in statistics, data science or related field a plus

Paul Chatlos
Executive Recruiter

Paul specializes in the recruitment of quantitative marketing professionals. He prides himself in building excellent relationships with both clients and candidates in order to best address their hiring needs and career goals.
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