SAS Analyst Developer

Hi,

Hope you are doing great.

This is Sekhar from KMM Technologies. We have an urgent requirement for the following, if you are comfortable send your latest resume to // Call ..

Position Name: SAS Analyst – Developer

City & State: Chantilly, VA (Onsite)

Duration: 24 months– 2 years

Citizenship Requirements: US Citizen only

DESCRIPTION and RESPONSIBILITIES

We are seeking an experienced SAS Developer-Analyst to support a variety of development and analytical work. Consultant will need to be proficient and have experience with SAS Programming, SAS Studio and knowledge of Visual Analytics.

The consultant must have excellent communication skills and must be able to communicate about the techniques developedand results of analysis both to executives and other analystsin the organization.

QUALIFICATIONS – ESSENTIAL

Must be currently locatedin or willing to relocateto the Washington DC area.

Must be willing to work from client site up to 5 days per week

Should be proficient and have experience with SAS Programming, SAS Studio and Visual Analytics

Bachelor’sDegree 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, businessintelligence and/or data management experience.

Prepareand manipulate structured and unstructured data for data discovery and mining from multiple disparate data sources

Create new variables and perform ETL on structured data

Translatedata analysis into coherent reports and presentations for internal and external customers with varying degrees of technical knowledge

Create high-end analyticvisualizations, utilizing supervised and unsupervised learning using SAS software to support decision makers

Prototypesolutions using variedSAS software tools

Assist with communicating key analytic findingsto stakeholders

Support and maintainproduction 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.

Excellentwritten, verbal, and interpersonal communication skills.

Abilityto conceptualize clients’needs and translate into specific implementation strategies.

Will be requiredto use SAS Tools to produce work and deliverables across the entiredata analytics lifecycle from data management and prep to modeling and data visualization.

Will attend in person meetingsand 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 desireddata mining model(s),to include reviewingavailable data sources and identifying appropriate variables (existing, or to be created) for the models.

DevelopSAS programs to access data from varioussources (e.g., readingin data sourcesand producing datasets suitable for SAS analytics); this will most often include data preparation, analysis and predictive model development.

Interpretstatistical model resultsinto business insightsand presents findingsto management.

Abilityto write SAS/SQLstatements 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 Englishand thought-leadership skills.

MAJOR RESPONSIBILTIES/ACTIVITIES:

Build a trusted relationship with the customer to provide practical and theoretical guidance in the businessvalue of proposedsolutions and set proper expectations to ensure customer satisfaction

Strategize with sales team on objectives for customer meetings, understand how this activity relates to overallsales plan and provide functional solution leadership for sales opportunities

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 deliveryof targeted projectresults through role as expertin the application of specific SAS methodologies, projects and technologies.

Provide data and analytical expertise to projects.

Understandclient 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 trainingto acquire and maintain a detailed level of product knowledge of core components of SAS offerings.

Lead or assist with activities related to SAS analytics projectdiscovery, 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 programsto access data from varioussources (e.g., readingin 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 miningusing a mix of third-party and internal customer data to identify customer insights and behavioral characteristics.

Interpret statistical model results into business insightsand presents findingsto management.

Provide on-goingtracking and monitoring of performance of decision systemsand statistical models.

Thanks & Regards,

Sekhar Pillala

Team Lead - Talent Acquisition

KMM Technologies, Inc.

CMMI Level 2 ISO 9001 ISO 20000 ISO 27000 Certified

WOSB, SBA 8(A), MDOT MBE & NMSDC MBE

Contract Vehicles: 8(a) STARS III & Schedule 70

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