Randstad SAS Programmer/Data Analyst in McLean, Virginia

SAS Programmer/Data Analyst

job details:

  • location:McLean, VA

  • salary:$70 - $80 per hour

  • date posted:Wednesday, January 9, 2019

  • job type:Contract

  • industry:Finance and Insurance

  • reference:664104

job description

SAS Programmer/Data Analyst

job summary:

Centralized Reporting and Data Analytics (CRDA) is seeking an experienced SAS Data Analyst. As a contract worker with the Centralized Reporting and Data Analytics, you will:

location: Mc Lean, Virginia

job type: Contract

salary: $70 - 80 per hour

work hours: 9am to 5pm

education: Bachelors


Be responsible for optimizing and simplifying reporting capabilities, and automating associated processes

  • Identify opportunities for efficiencies in work process and innovative approaches to completing scope of work

  • Participate in team problem solving efforts and offer ideas to solve client issues

  • Proactively identify problems/issues concerning data accuracy and data integrity

  • Develop and/or modify existing queries and programs for increased performance and efficiency

  • Demonstrates a curiosity and drive for identifying the most efficient and accurate reporting solutions

  • Create and maintain documentation relating to data management including training guides, report specifications, and data dictionaries

  • Documents the methodologies used to develop reporting outputs, including demonstrating the flow of data

  • Complete and validate ad-hoc data requests as needed by various internal departments

  • Not afraid to wear multiple hats - no job being too small or too large


Minimum 7-10 years of SAS experience and practical experience in SQL query scripting, debugging, and execution; Ability to audit and optimize existing SQL queries.

Bachelor's degree in Economics, Statistics, Operations Research, Computer Science, Information Systems, Engineering or similar quantitative discipline

skills: Demonstrated knowledge of, and/or a proven record of success performing in a role participating in, analytics projects which include: - Analyzing large and complex data sets, including a demonstrated thorough aptitude for conducting quantitative and qualitative analyses; - Utilizing problem-solving skills; - Strong communication and data presentation skills; - Excellent verbal and written communication to various audiences in a professional business environment; - Exposure to Alteryx is desirable; -Proficiency in Tableau is desirable but not required; - Proficiency in Python or other scripting language is a plus

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.