Data Analyst: Ann Arbor, MI

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Agency

University of Michigan, Cooperative Institute for Great Lakes Research (CIGLR)

Location

Ann Arbor, MI

Job Category

Full time Positions

Salary

$44,000-$54,000

Last Date to Apply

10/19/2022

Website

https://careers.umich.edu/job_detail/222923/seas-ciglr-data-analyst

Description

The Cooperative Institute for Great Lakes Research (CIGLR) is seeking a data analyst to work with the physical modeling team at CIGLR and the NOAA Great Lakes Environmental Research Laboratory (GLERL). The individual will support multiple research projects by conducting various data analyses, including downloading atmospheric, hydrologic, and hydrodynamic datasets; extracting and reformatting data for comparison with the model outputs; visualizing the comparisons; and calculating metrics for the model skill assessment. The individual will also conduct data processing, quality assurance, and quality control of observational data from shallow water ice profilers (SWIPs) and acoustic wave and current profilers (AWACs) following the established procedure at GLERL and CIGLR.

Qualifications

Required Qualifications
Bachelor’s degree in physical oceanography, hydrology, or relevant field.
Proficiency in programming languages such as Matlab, Python, or R.
Mathematical skills, knowledge of signal processing, such as the Fast Fourier Transform.
Familiarity with various data formats such as NetCDF, grib2, and ASCII.
Experience with analyzing time series data, such as visualization, time-averaging, and model skill assessment.
Familiarity with a High Performance Computing System (HPC) environment, such as shell scripting, file transferring, and programming.
Strong communication skills and a demonstrated ability to work both as a team and independently.

Desired Qualifications
Master’s degree in physical oceanography, hydrology, or relevant field.
2-3 years of professional experience with oceanographic and/or hydrology and land surface data analyses.
Experience with processing ocean/lake observational data, such as data from moorings and profilers.
Experience with National Water Model outputs and/or steam flow data at gauge stations.
Experience with Geographic Information Systems (e.g., ArcGIS).

Contact Person

Mary Ogdahl

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