QUANTITATIVE MANAGER ADVANCED ANALYTICS vacancy at The Judge Group in

The Judge Group is looking of QUANTITATIVE MANAGER ADVANCED ANALYTICS on Mon, 22 Apr 2013 20:34:25 GMT. Our client is currently seeking a QUANTITATIVE MANAGER ADVANCED ANALYTICS. Job Description We have an outstanding opportunity for you to join an Advanced Analytics practice in a rapidly growing company in Northern VA. This organization's services combine competency and experience in the areas of business intelligence, risk management, and knowledge discovery. Role and Responsibilities: aDevelop...

QUANTITATIVE MANAGER ADVANCED ANALYTICS

Location: , Virginia

Description: The Judge Group is looking of QUANTITATIVE MANAGER ADVANCED ANALYTICS right now, this vacancy will be settled in Virginia. Further informations about this vacancy opportunity please read the description below. Our client is currently seeking a QUANTITATIVE MANAGER ADVANCED ANALYTICS.
Job Description
We have an outstanding opportunity for you to join an Advanced Analytics practi! ce in a rapidly growing company in Northern VA. This organization's services combine competency and experience in the areas of business intelligence, risk management, and knowledge discovery.

Role and Responsibilities:
aDevelop, maintain, and perform data analysis for Advanced Analytics programs utilizing SAS, Enterprise Guide, Data Step and Oracle SQL programming

aExperience planning and managing analytical projects

aExpertise preparing and delivering analytical presentations

aManage personnel including appraising performance, mentoring and development

aAbility to effectively communicate with internal teams and external clients to deliver analytical solutions and provide leadership through consulting

aVery strong analytical skills coupled with business intelligence and a deep understanding of data mining, working with large data sets and data platforms

Requirements
aBA/BS degree or advanced degre! e in statistics, applied mathematics or related analytical fie! ld of study

a7 plus years professional experience consulting with clients to design and develop statistical models, segmentation schemes and data-driven analysis

aExperience planning and managing analytical projects

aStrong Microsoft Word, Excel and PowerPoint skills

aStrong capability to build models and utilize statistical methods including data imputation, time series, logistic regression, survival analysis, neural networks and other modeling techniques

aExpertise in statistics, modeling, segmentation, logistic regression, survival analysis, neural networks, and decision trees

aCustomer focus with expertise explaining complex methods, strong verbal and written communication skills, customer orientation and responsiveness

aCreate performance metrics and tracking processes to measure the effectiveness of the predictive modeling efforts

aUtilize data mining techniques and information retrieval methods t! o gather business intelligence

aDevelop and optimize SQL queries to access source data from Oracle, Netezza, data files and other formats to facilitate statistical models and perform SAS programming

aWork in a collaborative manner with team members and customers to gather requirements, analyze data and interact with multiple internal data management groups to support data analysis and develop analytical processes for operations

aStrong time management skills and proven ability to work on time-sensitive deliverables

aPrior Federal consulting experience in statistics and related service area preferred

aSuperior customer interface at senior levels of management and excellent oral and written communication skills are critical

aWillingness to travel and flexibility to commute to clients in the DC metro area as needed

aCandidates should be US Citizens

aPublic Trust Suitability
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If you were eli! gible to this vacancy, please email us your resume, with salary require! ments and a resume to The Judge Group.

Interested on this vacancy, just click on the Apply button, you will be redirected to the official website

This vacancy will be opened on: Mon, 22 Apr 2013 20:34:25 GMT



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