Naval Facilities Engineering Systems Command
DATA ANALYTICS SPECIALIST
Military Sealift Command · Department of the Navy
- Location
- Naval Base, Norfolk, VA
- Pay
- $62,640 – $98,530 a year
- Dates
- Posted Nov 4 · Closes Nov 9
Opens the official announcement. MyPRjobs is not part of the federal government.
What to know about this job
Prepared by MyPRjobs from the announcement and our catalog. The official summary follows below.
- This kind of job
A U.S. federal government job. You apply on USAJOBS with a federal résumé; it has a closing date and pay follows fixed scales (GS or others).
- The pay, plainly
About $62,640–$98,530 a year, or $30.12–$47.37 an hour full time (40 hours). Before taxes and deductions.
- Documents usually requested
- Federal résumé (with hours per week and dates for each job)
- Academic transcript, if the position requires education
- DD-214 if you claim veterans' preference
- SF-50 if you are a current federal employee
- Photo ID and Social Security card or work authorization (Form I-9)
- In our catalog
Posted 2 days ago.
About the job
You will serve as a DATA ANALYTICS SPECIALIST in the FORCE SAFETY (N9FS) of MILITARY SEALIFT COMMAND. This is a RE-ADVERTISEMENT of Announcement Number: ST-13097902-27-WEJ, Applicants that have previously applied NEED to re-apply to this announcement.
Qualifications
FOR GS-11: Your resume must demonstrate at least one year of specialized experience at or equivalent to the GS-09 grade level or pay band in the Federal service or equivalent experience in the private or public sector. Specialized experience must demonstrate the following: Experience evaluating data resulting from applying statistical tools, models, methods, and techniques to determine the efficiency of systems output. Experience presenting data found using statistical processes both written and orally to management. Experience utilizing the principles, procedures, and tools of data management such as modeling techniques, data backup, recovery, dictionaries, warehousing, mining, disposal, and standardization processes. Experience identifying a problem within the data and providing recommendations to leadership. Experience integrating new, existing, and proposed applications into the operating environment. Additional qualification information can be found from the following Office of Personnel Management web site: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/#url=List-by-Occupational-Series Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., professional, philanthropic, religious, 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. FOR GS-09: Your resume must demonstrate at least one year of specialized experience at or equivalent to the GS-09 grade level or pay band in the Federal service or equivalent experience in the private or public sector. Specialized experience must demonstrate the following: Experience assisting senior level data analysts in formulating all documents and data findings to present to leadership. Experience identifying waste within data management and presenting findings to senior level data analysts. Experience extracting data to formulate an analysis on the data collected. Experience assisting senior level data analysts with integrating new, existing, and proposed applications into the operating environment. Experience maintaining liaison with other data analysts engaged in similar activity to maintain operating metrics. Additional qualification information can be found from the following Office of Personnel Management web site: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/#url=List-by-Occupational-Series Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., professional, philanthropic, religious, 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.
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