Data Modeler Consultant

DATA MODELER CONSULTANT

SACRAMENTO, CA, 94203

12 MONTH CONTRACT

The Data Modeler Consultant at the expert level under the general direction of Business Lead to develop and implement quantitative models, analytics, and tools necessary to support business objectives. Can act in a lead capacity on complex assignments, or can work independently or on a team as a high level technical specialist. Provides interpretation and explanation of the results of a Business Intelligence and/or analytical effort.

GENERAL QUALIFICATIONS

- Must have the ability to reason logically and creatively and use a variety of analytical and research techniques to solve complex problems; analyze situations and propose an effective course of action; analyze data; identify the need for and provide creative thinking related to complex problems, develop and evaluate alternatives
- Must communicate effectively both verbally and in writing with a variety of audience types using different mechanisms including informal updates, formal presentations, business case documents, and other analytical and technical documents
- Must have participated in at least two (2) or more successfully completed projects
- Must possess a strong understanding of information technology fundamentals, project management fundamentals, and systems development life cycle
- Must have the ability to establish and maintain strong cooperative working relationships and to use inter-disciplinary teams effectively in managing project tasks and activities under the direction of the Project Manager

MINIMUM QUALIFICATIONS

- Must have a minimum of five (5) years of experience supporting the design and development of analytical models, tools, or programs such as SAS
- Must have knowledge of the languages and applications used in quantitative development. Must have the ability to extract meaning from data and create data products
- Must have the ability to implement technology solutions for complex business problems. The problems will require a combination of different fields and theories including math, statistics, data engineering, pattern recognition and learning, visualization, uncertainty modelling, data warehousing, and advance computing
- Must have the ability to express quantitative and technical information in a simple and intuitive manner to a variety of audience types using different mechanisms including informal updates, formal presentations, business case documents, and other analytical and technical documents

DESIRED QUALIFICATIONS

- Pension Analytics
- Health Care Analytics
- Customer Service Analytics
- Various Enterprise Resource Planning (ERP) related Analytics - Financial, Human Capital, Supply Chain, Corporate Operations
- Risk Analytics
- Agile Project Management and Development
- In-memory Architecture experience
- Unstructured Data experience