• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 19th Apr 2024

• 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
• 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.