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Senior Analyst, Advanced Analytics


Reference IQWF6838
Job Type Full-Time
Job Status Sourcing
Date Posted Nov 10, 2009
Location New York
Duration
Job Description

Our client is a premier, global luxury multi-channel retailer.   They have always been a highly data-driven culture, but until now have relied primarily on qualitative analytics (research, focus groups, surveys, etc.). 

The firm has made a significant investment into becoming more quantitative.  They have developed an advanced analytics group, which will reside within their global strategy and analytics department.  This group will be responsible for "predictive analytics, customer segmentation and modeling, ad hoc business analytics and customer behavior reporting in support of internal global business partners".

The Senior Analyst, Advanced Analytics will report to the Senior Manager of Advanced Analytics and will play a pivotal role in modeling multi-channel customer data.

This is a national search - relocation assistance is available to the NY area. 

 

The successful individual will leverage their proficiency in Analytics to...


Execute projects based on predictive analytics, customer segmentation and modeling, ad hoc business analytics and customer behavior reporting in support of internal global business partners

Implement analytical models using appropriate data mining and statistical tools, analyze results and work cross-functionally to generate actionable recommendations

Create insightful, analytically based findings and communicate to appropriate business partners and management team

Manage production analytical models that support merchandising, marketing and/or finance organizations

Qualifications Expertise in data analytic approaches and relevant technology platforms

Exceptional problem solving and analytical skills

Exceptional oral, written and formal presentation skills

Demonstrated ability to generate innovative insights from rigorous analysis

Minimum of bachelor’s degree in related field – statistics, mathematics, operations research, industrial engineering, etc.

At least 2 years total relevant work experience in quantitatively intensive role, preferably focused on analyzing retail customer data

Expertise with a broad range of data mining and optimization applications including: SPSS or SAS, Clementine, SQL, .Net, Web Analytic tools, Business Intelligence tools, etc.
Contact cprohens@iqworkforce.com
Contact Info corry prohens
Contact Email: cprohens@iqworkforce.com

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