USA remote
Data Analyst
About this role
Do NOT copy and paste the duties, specialized experience, or occupational assessment questionnaire from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position. Your resume must describe your work and experience, in your own words. To be considered minimally qualified for this position, you must demonstrate that you have the required experience for the respective grade level in which you are applying.
Applicants must demonstrate that they meet the Basic Requirements AND Minimum Qualification requirements as listed below. BASIC REQUIREMENTS: Degree: Bachelor's or higher degree from an accredited institution that included a major field of study in Operations Research; OR a degree with at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics.
At least 3 of the 24 semester hours must have been in calculus. IN ADDITION TO MEETING THE BASIC REQUIREMENTS ABOVE, YOU MUST ALSO MEET EITHER THE FOLLOWING SPECIALIZED EXPERIENCE REQUIREMENTS OR EDUCATION TO SUBSTITUTE IN ORDER TO BE CONSIDERED: You qualify at the GS-11 grade level, if you have: EXPERIENCE: At least one (1) year of specialized experience at the GS-09 grade level (or equivalent) performing all the following duties: Assisting with data analysis using a programming language (e.g., Python, R, Scala) to clean, organize, analyze, or summarize data.
Contributing to written reports, presentations, dashboards, or other materials that communicate analytical findings. AND Developing analytical project ideas by helping translate organizational problems or challenges into questions that can be answered with data. OR EDUCATION: A. Ph.D. or equivalent doctoral degree from an accredited institution in Operations Research;OR a Ph.D. or equivalent degree with at least 24 semester hours of coursework in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics.