QUALIFICATIONS ESSENTIAL

Senior resources are preferred for this one.. 11 to 15 years
exp..

Must be currently located in or willing to relocate to the Washington DC area.
Must be willing to work from client site up to 5 days per week
Bachelor s Degree in Business, Computer Science, Economics, Mathematics or related
field.
2 years' of professional consulting experience involving implementations of analytical
applications or data manipulation
2 years of analytics, business intelligence and/or data management experience.
Prepare and manipulate structured and unstructured data for data discovery and mining
from multiple disparate data sources
Create new variables and perform ETL on structured data
2
Translate data analysis into coherent reports and presentations for internal and external
customers with varying degrees of technical knowledge
Create high-end analytic visualizations, utilizing supervised and unsupervised learning
using SAS software to support decision makers
Prototype solutions using varied SAS software tools
Assist with communicating key analytic findings to stakeholders
Support and maintain production code and data as needed
Ability to communicate with people of various technical and business backgrounds,
including the ability to explain difficult technical concepts in simple terms to business
users.
Excellent written, verbal, and interpersonal communication skills.
Ability to conceptualize clients needs and translate into specific implementation
strategies.
Will be required to use SAS Tools to produce work and deliverables across the entire data
analytics lifecycle from data management and prep to modeling and data visualization.
Will attend in person meetings and establish relationships with client resources and seek
to become a trusted advisor regarding end-user needs and SAS software use and
products
Develop an understanding of the client s data environment and how that applies to
developing predictive models; that is, analyze and determine what data is available and
necessary to create desired data mining model(s), to include reviewing available data sources
and identifying appropriate variables (existing, or to be created) for the models.
Develop SAS programs to access data from various sources (e.g., reading in data sources and
producing datasets suitable for SAS analytics); this will most often include data preparation,
analysis and predictive model development.
Interpret statistical model results into business insights and presents findings to
management.
Ability to write SAS/SQL statements to store, retrieve, manipulate, integrate, validate, and
summarize data.
Be proficient in Base SAS programming (DATA step), SQL programming (i.e., use of SQL
pass-through or PROC SQL), as well as the SAS Macro language for use in making code
more efficient.
Good written and spoken communications skills in English and thought-leadership skills.
MAJOR RESPONSIBILTIES/ACTIVITIES:
Build a trusted relationship with the customer to provide practical and theoretical
guidance in the business value of proposed solutions and set proper expectations to
ensure customer satisfaction
Strategize with sales team on objectives for customer meetings, understand how this
activity relates to overall sales plan and provide functional solution leadership for sales
opportunities
3
Conduct discovery meetings to collect, analyze, clarify, and document business
requirements during the sales cycle to support the implementation team and to produce a
detailed solution proposal
Provide reliable delivery of targeted project results through role as expert in the
application of specific SAS methodologies, projects and technologies.
Provide data and analytical expertise to projects.
Understand client business pains and translating them into solutions.
Collaborate with other professional services colleagues, project managers, and sales
teams on customer implementations.
Understand, utilize and communicate best practice methodologies and industry standards
internally and externally.
Participate in product and solution training to acquire and maintain a detailed level of
product knowledge of core components of SAS offerings.
Lead or assist with activities related to SAS analytics project discovery, definition, design,
development, implementation and follow-on maintenance analytical environment.
Prepare data mining data sets for modeling.
Develop an understanding of the client s data environment and how that applies to
developing predictive models; that is, analyze and determine what data is available and
necessary to create desired data mining model(s), to include reviewing available data
sources and identifying appropriate variables (existing, or to be created) for the models.
Use SAS for data exploration, to include developing intuition about the data, the data
structures, data types, data values, exploration of distributions, summary statistics
and/or histograms.
Develop SAS programs to access data from various sources (e.g., reading in data sources
and producing datasets suitable for SAS analytics); this will most often include data
preparation, analysis and predictive model development.
Perform data and statistical analysis, predictive modeling, and data mining using a mix of
third-party and internal customer data to identify customer insights and behavioral
characteristics.
Interpret statistical model results into business insights and presents findings to
management.
Provide on-going tracking and monitoring of performance of decision systems and
statistical models.