Operations Research Analyst

Full Job Description

This position is located in Power Services (P) of the Bonneville Power Administration (BPA).

This position is to serves as an operations research analyst responsible for planning, coordinating, and executing studies of marked difficulty and responsibility in support of the functions of the organization.

BASIC REQUIREMENT: Degree: in operations research; or 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.

SPECIALIZED EXPERIENCE REQUIREMENTS: GS-11: A qualified candidate's online application and resume must demonstrate at least one year of specialized experience equivalent to the next lower grade level GS-09 in the Federal service.

Specialized experience is defined as: Experience in researching, analyzing, interpreting, evaluating, and performing difficult but well precedented operations research or other related assignments.

You may substitute education for specialized experience as follows: Ph.D.

or equivalent doctoral degree; or 3 full years of progressively higher level graduate education leading to such a degree; or a LL.M., if related; your education must demonstrate the knowledge, skills, and abilities necessary to do the work.

-OR- Combination of education and experience as described above.

Less than one year of specialized experience may be combined with graduate education in excess of the amount required for the next lower grade level (i.e., credit hours beyond the first two years of full-time study may be credited).

One academic year of graduate education is considered to be the number of credits hours the graduate school has determined to represent one academic year of full-time study.

If the graduate school's definition of one year of graduate study is not available, 18 semester hours (or 27 quarter hours) is used.

When crediting education that requires specific course work the number of hours of related courses required, as a proportion of the total education, is prorated.

GS-12: A qualified candidate's online application and resume must demonstrate at least one year of specialized experience equivalent to the next lower grade level [GS-11] in the Federal service.

Specialized experience for this position is defined as: 1) experience using computer models or software tools to develop analytical models, mathematical and statistical analyses; 2) conducting risk management studies to help inform recommendations on policies, programs, processes; and 3) Resolving strategic or operational problems of an organization participating in a regulated industry.

"Experience" refers to paid and unpaid experience.

Examples of qualifying unpaid experience may include volunteer work done through National Service programs (such as Peace Corps and AmeriCorps); as well as work for other community-based philanthropic and social organizations.

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.

Time-in-Grade: Current Federal employees must meet time-in-grade requirements by the closing date of this announcement to receive consideration.

CTAP/ICTAP candidates: To be considered "well qualified" you must meet all of the requirements as described in this section.

You must meet all qualifications and eligibility requirements by the closing date of this announcement. Major Duties:

As a Operations Research Analyst, you will: Set up the problem; conducts background research; collects and reduces data; displays data for analysis; formulates mathematical expressions; and draws conclusions.

Apply modeling techniques and procedures. Develop mathematical algorithms. Write statistical computer programs. Design and performs computer simulations.

Analyze data using probability statistics and trend analysis. Develop new methods and propose new policies and practices.