SAS Data Quality Analyst

Arlington, VA
Jan 27, 2022
Jan 29, 2022
Full Time
Job Title: SAS Data Management ConsultantLocation: Remote or Arlington, VADuration: 24+ monthsDescription:We are seeking a Senior SAD Data Consultant to join our team of qualified, diverse individuals supporting a Federal Government customer in Rosslyn, VA.This will be a remote role, however, this individual is required to live within 2 hours of Arlington VA as at some point they will have to be onsite for client meetings. Position Description:Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the-shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports.Knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up(M), and Microsoft Power Platform (eg, Power BI, Power Apps, Power Automate, etc.).Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake.Knowledge of SAS Visual Analytics, SAS Enterprise Guide, SAS Studio, Office Analytics, and other SAS tools.Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.Coordinate with staff and customers to identify business and technical requirements.Produce written documentation and artifacts for all work completed, including the translation of user requirements into technical designs.Assist the agency in the development of programming and visualization solutions.Troubleshoot and provide support on existing projects or application efforts.Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas.Knowledge of ODBC connection strings, and other external data source connection protocols.Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.Evaluate, assess, document, and test data security and continuity of operations for systems and programs.Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings. Education and Experience RequirementsMust have a Degree in Computer Science, Information Technology, Data Analytics, or related field.Minimum 7+ years experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).Minimum 3+ years experience working with Microsoft Power Platform (including Power BI, Power Automate, Power Apps) and other business intelligence applications.Minimum 1+ year experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.Ability to conduct complex data analysis and data interrogation to present concise conclusions which tell the story of the dataset, associated business problem/situation and recommendations for improvementAbility to develop visualizations using Power BI.Must have resided in the US for the last 5 yearsPrimary Requirements:In-depth knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ability to create solutions in complex environments, including the use of programming languages to create datasets, visualizations, and interactive reports in various business intelligence applications.Skill applying analytical techniques, methods, and processes to business problems demonstrated through a history of accepted modeling and analyses that resulted in meaningful business impact.These include working with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.Work as RISC liaison to CIO for server/system issues related to AWS and Azure.Strong writing and documentation skills to capture collection of source data, methodology from business rules, and visualization deployment from a myriad of sources and interactions with various stakeholders.Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting, summarizing, and reporting.Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.Review, analyze, and modify existing products including coding, debugging, testing, and documenting.Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.Understand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting). Desired RequirementsKnowledge of SAS Visual Analytics, SAS Enterprise Guide, SAS Studio, Office Analytics, and other SAS tools.Professional Certification(s) in a related field of data science and/or data analytics disciplines preferred

Similar jobs