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AccruePartners

Senior Data Analyst
Post Date:Sep 14, 2017Type:Contractor
Start Date:9/14/2017Salary:- n/a -
Location: US-NC-Charlotte Job Reference:17267

Description

AccruePartners values our contract and consulting employees. We strive to provide comprehensive, quality and an affordable suite benefits. Our employees are eligible for Medical, Vision, Dental, Short Term Disability and 401K and other benefits. 

WHO OUR CLIENT IS:
• Fortune 100 Financial Services Company
• 100-year history of dedication to customer satisfaction, success and growth
• Tremendous growth and new business strategy leading to the need for new talent
• Significant investments in cutting-edge technology

WHY YOU SHOULD CONSIDER THIS OPPORTUNITY:
• Culture: Excellent work environment that fosters collaboration
• Growth: Ability to make an impact on the direction of the organization
• Opportunity: Gain hands-on experience working with cutting-edge technology
• Stability: Recent financial performance of the company has reported record profits

WHERE THE POSITION IS LOCATED:
• Charlotte, NC or Waltham, MA

WHAT YOU WILL DO:
• Perform large-scale data analysis and develop effective statistical models for segmentation, classification, regressions, optimization, forecasts, validation & testing, etc.
• Develop, implement and maintain analytical dashboards to support business and IT groups across the Digital organization. Include customer analytics, web & channel analytics, marketing analytics and omnichannel analytics.
• Identify key business problems & develop viable, data-supported hypotheses in collaboration with stakeholders.
• Provide high-quality, unbiased data analysis and analytical solutions that support business objectives.
• Take accountability of data analysis, and present a clear and accurate interpretation of results.
• Establish scalable, efficient, automated processes by leveraging a wide range of environments and technologies.
• Work closely within a team structure and demonstrate successful collaboration with other team members.

HOW YOU ARE QUALIFIED:
• B.S. (M.S. preferred) in a relevant field such as Data Science, Applied Math, Statistics, Computer Science, Economics, etc.
• 2+ years of experience and advanced education in statistical and machine learning modeling
• Experience in statistical packages such as R, Python, MLlib, etc.
• Skilled at data visualization and presentation



Job Requirements
 


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