SAS Programmer/Data Analyst

  • location: McLean, VA
  • type: Contract
  • salary: $70 - $80 per hour
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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
 
responsibilities:
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

 
qualifications:
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.

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