GDIT is looking for a SAS Analytics - Tableau Advisor to join our team supporting the USPS in Washington, D.C.
Responsibilities and duties include (but not limited to):
Selecting features, building and optimizing classifiers using machine learning techniques
Enhancing data collection procedures to include information that is relevant for building analytic systems, processing, cleansing, and verifying the integrity of data used for analysis
Provide architecture design input for implementing Tableau and SAS Visual Analytics
Doing ad-hoc analysis and presenting results in a clear manner
Supports information requests from inception to delivery, translating user requirements into appropriate reporting objects that tell a story with data including, but not limited to: analytic scorecards, dashboards, and reports.
Develops and implements user-interactive reporting objects including filters, tool tips, and statistically-based/risk based what if scenarios.
Integrates information from a variety of the organizations operational and data warehouse systems and synthesizes it to create self-service resources that enable users to explore the data and answer questions independently.
Creates sustainable data models using SQL and database tools.
Provides intermediate analytic programming support (e.g., R, Python, or SAS)
Contributes to or develops business intelligence and data modelling standards and guidelines.
May lead or coordinate small, informal team(s) of developers to expedite completion of various assignments and/or projects.
Facilitating and guiding analysts knowledge of SAS and Tableau dashboard creation and product automation
Providing guidance to Cyber/Analytics team on dashboard creation
Development of technical design documentation to include but not limited to entity relationship diagrams, data flow diagrams and object oriented design documents
Bachelor's Degree in a Computer Science or related technical discipline
Ten (10) plus years of experience
High level experience with Tableau and SAS Visual Analytics analytical tools
Experience with SAS Office Analytics, Data Mining and Machine Learning, Visual Statistics
Experience with training parties in the use of Tableau and SAS Visual Analytics products and analysis
Experience with common data science toolkits
Experience with data visualization tools
At least two (2) years of experience using applied statistics skills, such as distributions, statistical testing, regression, etc.
At least two (2) years of experience using documentation skills (Requirement, Functional, and Technical)
Experience working with relational databases (Oracle, SQL Hadoop and Teradata preferred)
Experience working with flat file data
Proficiency with Microsoft Office applications
Excellent written and verbal communication skills
Demonstrated ability to design and implement processes or industry best practices
Strong results orientation; strives to deliver great results and drive continuous improvement
Ability to collaborate and interact with business partners across all levels of the organization to define solutions to address key opportunities
Strong interpersonal skills; ability to build trust and commitment and influence others; promotes open communication and diverse perspectives
Demonstrates flexibility and adaptability; thrives in a changing and/or fast paced environment; ability to balance multiple priorities and projects
Motivated by the opportunity to learn and solve problems; takes initiative to improve processes and systems
Ability to work independently with minimal supervision
Experience with SAS Analytic software solutions
Analytical skills focusing on investigative data analytics a plus
This program only accepts US citizens and/or Green Card Holders. The security clearance for this program requires the selected candidate to have resided in the US for the past five years. The selected candidate cannot have left the country for longer than 90 consecutive days and no more than 180 cumulative days.
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.
GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.