Please respond to g...@hmgamerica.com

*POSITION: SAS Quantitative Analyst*
*LOCATION: Troy, MI*
*DURATION: 3 Months*
*
*
*Mandatory: SAS STAT, Modeling*

Must have experience building models for quant analysis (Model names –
survival analysis, multivariate analysis, linear regression, logistic
regression, time series, spatial statistics), experience in SAS, etc.

*JOB SUMMARY:*

The Quantitative Analyst is a new position designed to assist the
Quantitative Analytics Manager in providing national leadership for the
development, deployment, utilization and implementation of metrics and
quantitative analytics reporting within the Service Company.
*
*
*JOB FUNCTION:(Define the overall function or purpose of this position.)*

The Quantitative Analyst will be responsible for providing assistance with
defining and developing the overall metrics / analytics program for the
Service Company. This role will work towards supporting the development of
the analytics strategy, identifying and integrating various data sources to
provide organization leaders understandable and actionable analysis to
accomplish specific strategic and business objectives and identify
opportunities for continuous improvement. This position will contribute to
the Quantitative Analytics efforts by:


   - Supporting technology to improve quality, reduce cost, improve cycle
   time, and overall effectiveness of statistical analytical processes.
   - Identifying, improving and consolidating core metrics and statistical
   analytics with operational dashboard reporting at the supervisor, manager
   and executive levels. Assist in   the creation of a single source
   repository for operational, benchmarking, market trend,   etc. metrics.
   Ensure quality of data and provide guidance to business stakeholders in
   interpretation and analysis.
   - Contributing in problem solving efforts on assigned projects
   - Providing reporting, monitoring, and documentation of analyses and
   processes.
   - Assisting with data gathering and analytics required for compliance
   with regulations.
   - Identifying and integrating new data sources and analytics as
   appropriate to support business units within the Service Company.
   - Identifying improvements in dashboard, time reporting and metrics
   collection systems.


*SCOPE OF RESPONSIBILITY:*

Responsibility for the Quantitative Analytics Program throughout the
Service Company which includes:

Metrics and analytics support to include: defining, developing and
improving data quality and associated analysis (regression, data tree
analysis, neural networks, etc.), researching and resolving data anomalies,
providing ad-hoc reporting and guidance to consultants, business units and
other stakeholders.

This individual will identify opportunities to apply statistical methods
within the business, design statistical and analytical solutions and lead
the development and implementation of those solutions.

He/she will partner with other members of the business to initiate,
prioritize, scope, design and deliver high-visibility quantitative
projects. Other responsibilities include advancing the statistical
capabilities of the business through increase statistical knowledge,
development of statistical capabilities, and incorporation of research into
usable solutions

*MAJOR RESPONSIBILITY:*

*Quantitative Analytics Development (50%): *


   - Provide support with the development and implementation of the
   Quantitative Analytics  vision and strategy.
   - Provide input and /or make recommendations to identify, enhance,
   efficiently collect, and consolidate core metrics and associated analytics.
   - Provide data mining and predictive analytics expertise in support of
   business units and continuous improvement activities.
   - 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.
   - Manage analytical data and use of technology, such as Cognos, SAS,
   Minitab, Microsoft  Office, ensuring data is current, accessible, accurate,
   and usable for analytical   projects.
   - Assist with data gathering and analytics required for compliance with
   regulations,   maintaining an awareness of evolving regulatory guidelines
   and industry practices.
   - Monitor the development, monitoring, validation, and calibration of
   statistical models.


*Analytics/Metrics Consulting (40%): *


   - Develop, deploy and enhance Service Company Operational dashboard
   reporting. Engage  through Lean Six Sigma consultants to support business
   leaders in understanding and    identification of issues and opportunities
   highlighted through dashboard metrics and   reporting.
   - Research, identify and integrate new data sources, such as
   benchmarking and customer   demographics, and associated analytics as
   appropriate to support consultants and business   unit strategies within
   the Service Company.
   - Provide proactive guidance and advanced training, as appropriate, to
   Lean Six Sigma   consultants in descriptive and predictive analytics, data
   collection, interpretation and   analysis of process metrics
   - Actively support and engage with Continuous Improvement practitioners
   in their consulting role to business units by supporting initiatives
   through statistical subject matter   expertise, identifying data sources
   and integrating new operational metrics as  appropriate.
   - Provide reporting, monitoring, and documentation of analyses and
   analytic processes.
   - Provide operational data as requested by government agencies.
   - Support corporate initiatives as assigned.


*Analytics Content Management (10%): *


   - Ensure analytics content availability, accuracy and support business
   timelines and   strategies
   - Validate and reconcile data content; research and correct inaccuracies
   in data content.
   - Make recommendations to develop / capture change requirements to
   analytics systems.

*
*
*ADDITIONAL INFORMATION:*
*
*
*The following are key requirements for the manager:*


   - *Masters degree in statistics, analytics or associated field or
   Bachelors degree with statistics or analytics certification.*
   - 4-6 years Business Intelligence Software Experience applied to
   predictive analytics / data  mining.
   - 4 years data mining experience



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Thanks & Regards

Gary
Team Lead/IT Recruiter
PH:732-645-1446
E:g...@hmgamerica.com
http://www.hmgamerica.com/*
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