Position Title: Quantitative Analyst / SAS Business Intelligence

Duties & Responsibilities: The Quantitative Analyst candidate should have strong statistical modeling techniques and data mining background, demonstrates creativity and interpersonal savvy, and displays strong problem solving, presentation and planning skills. Participate in development and implementation of the __Quantitative Analytics Development__ 1.Participate in development and implementation of the Quantitative Analytics vision and strategy. 2.Target quantitative expertise to specific modeling and analytics development efforts, including validating, monitoring, calibrating, and model redevelopment. Experience with developing logistic distribution, decision tree, neural network models would be a plus. 3.Manage analytical data and use of technology, such as Cognos, SAS, Minitab, Microsoft Office, and ensuring data is current, accessible, accurate, and usable for analytical projects. 4.Provide input and /or make recommendations to identify, enhance, efficiently collect, and consolidate core metrics and associated analytics. 5.Provide data mining and predictive analytics expertise in support of business units and continuous improvement activities. 6.Assist in the creation of a single source of truth repository for operational, benchmarking, market trend, and other key metrics for use by executive and business unit leaders, the data analytics team and continuous improvement practitioners. 7.Assist with data gathering and analytics required for compliance with regulations. __Analytics/Metrics Consulting__ 1.Actively support and engage with Business Units by supporting initiatives through statistical subject matter expertise, identifying data sources and integrating new operational metrics as appropriate. 2.Provide proactive guidance and advanced training, as appropriate in descriptive and predictive analytics, data collection, interpretation and analysis of process metrics 3.Research, identify and integrate new data sources, such as benchmarking and customer demographics, and associated analytics as appropriate to support business unit strategies within the Comerica. 4.Develop, deploy and enhance Service Company Operational dashboard reporting. Engage and support business leaders in understanding and identification of issues and opportunities highlighted through dashboard metrics and reporting.

Position Qualifications: •Bachelor's Degree from an accredited university and 6 years operations experience •4 years Business Intelligence Software Experience applied to predictive analytics / data mining. •6 years demonstrating decision making, prioritization, organizational and time management skills. •6 years of analytical and problem solving experience. •6 years of experience leading or assisting team-based projects. • 6 years of experience with word processing, presentation and spread sheet applications software, i.e. Excel, PowerPoint.

Salary Range: competitive package of salary and benefits based on experience

Benefits: competitive salary and benefits based on experience

Web Site: www.prescio.com

Application Address: Steve Zajac

Contact Email: s.zajac@prescio.com

Application Deadline: 04/15/2013