Management and Program Analyst

To qualify for this position, applicants must meet all requirements by the closing date of this announcement, 09 / 06 / 2024.

Time-In-Grade Requirement : Applicants who are current Federal employees and have held a GS grade any time in the past 52 weeks must also meet time-in-grade requirements by the closing date of this announcement.

For a GS-12 position you must have served 52 weeks at the GS-11. For a GS-13 position you must have served 52 weeks at the GS-12.

The grade may have been in any occupation, but must have been held in the Federal service. An SF-50 that shows your time-in-grade eligibility must be submitted with your application materials.

If the most recent SF-50 has an effective date within the past year, it may not clearly demonstrate you possess one-year time-in-grade, as required by the announcement.

In this instance, you must provide an additional SF-50 that clearly demonstrates one-year time-in-grade. Note : Time-In-Grade requirements also apply to former Federal employees applying for reinstatement as well as current employees applying for Veterans Employment Opportunities Act of 1998 (VEOA) appointment.

Specialized Experience GS-12 : You must have one year of specialized experience equivalent to at least the next lower grade GS-11 in the normal line of progression for the occupation in the organization.

Examples of specialized experience would typically include, but are not limited to : o Predictive data analysis and data mining skills, such as SAS Programming, Sequel, Pyramid and / or Tableau.

o Statistical Analysis : The ability to identify whether the analytic methods applied are right for the problem and which inferences are valid from the information at hand.

o Machine Learning / AI : The ability to build reliable, scalable, and easy-to-maintain models. o Demonstrated experience using raw data and converting that to information useful for decision-making.

OR Specialized Experience GS-13 : You must have one year of specialized experience equivalent to at least the next lower grade GS-12 in the normal line of progression for the occupation in the organization.

Examples of specialized experience would typically include, but are not limited to : o Predictive data analysis and data mining skills, such as SAS Programming, Sequel, Pyramid and / or Tableau.

o Statistical Analysis : The ability to identify whether the analytic methods applied are right for the problem and which inferences are valid from the information at hand.

o Machine Learning / AI : The ability to build reliable, scalable, and easy-to-maintain models. o Demonstrated experience using raw data and converting that to information useful for decision-making.

Please note : Examples of this experience must be in your Resume to meet Specialized Experience qualifications for this position) You will be rated on the following Competencies for this position : Critical thinking Quantitative analyses Data structure Communications Interpersonal Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.

g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religions; spiritual; community;

student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment.

You will receive credit for all qualifying experience, including volunteer experience. Note : A full year of work is considered to be 35-40 hours of work per week.

Part-time experience will be credited on the basis of time actually spent in appropriate activities. Applicants wishing to receive credit for such experience must indicate clearly the nature of their duties and responsibilities in each position and the number of hours a week spent in such employment.

Physical Requirements : Work is typically performed in an adequately lighted and climate controlled office. For more information on these qualification standards, please visit the United States Office of Personnel Management's website at https : / / www.

opm.gov / policy-data-oversight / classification-qualifications / general-schedule-qualification-standards / .