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Data Management Specialist 2 (19-1128)
URL: https://www.psmfc.org/psmfc-info/careers_2018
Company / Organization: Pacific States Marine Fisheries Commission
Pay Rate: $26.00/hr, DOE
Type: Full-time
City: Seattle
State or Country if outside US: Washington
Application Deadline: 14-Jun-19
Description:
Title: Data Management Specialist 2 (19-1128) Location: Seattle, WA (98112) Anticipated Start Date: July 1, 2019 Position Type: Full Year (12 months or more), Hourly/Non-Exempt Benefits Eligible: Yes | www.psmfc.org/benefits Salary Target: $26.00/hour, DOE Job Number: 19-1128 How to Apply: Online at www.psmfc.org/careers Closing Date: June 14, 2019 at midnight (PT) Group Definition: Data Management Specialist (Social Sciences) use a background in the social sciences as they assist in the population, maintenance, enhancement and distribution of databases. They locate, obtain, standardize, enter, verify and correct various data sets related to project goals and work plans.
Requirements:
Minimum Qualification Requirements: A range of experience and education may be presented. Candidates must present one year of Specialized Experience** AND four years of successfully completed education above high school in anthropology, economics, statistics, or any other field that provides the same knowledge. An equivalent combination of experience and education is also qualifying. **Specialized Experience is experience that equips the applicant with the knowledge, skills and abilities to perform successfully the duties of the position and is typically in or related to the work of the position being filled. To be creditable, Specialized Experience must have been equivalent to at least the next lower level in the normal line of progression for the position being filled. Preference will be given to qualified candidates who demonstrate: A minimum of a Master's degree from an accredited college or university is being sought. A bachelor's degree in an anthropology and or a statistical field with three years' experience conducting interviews and surveys or quantitative data analysis will be considered. Prefer experience to include quantitative social science data analysis, semi-structured and or/unstructured interviewing, survey administration (in-person) and oral history interviewing, knowledge of SPSS, R and Excel are highly preferable.
Point of Contact: Suzann Northup
Attachment: download
