Hello, Hope you are doing fine!!
Please review the requirement and if you are interested then reply back with your consultant resume and contact details ASAP to rajit@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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