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Research Analyst
Job in
Madison, Dane County, Wisconsin, 53774, USA
Listed on 2026-07-07
Listing for:
Earth Day
Full Time
position Listed on 2026-07-07
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering, Data Scientist
Job Description & How to Apply Below
This position will support applied research and development of population metrics from Snapshot Wisconsin trail camera data to inform management of deer, turkeys, and other Wisconsin wildlife species. The position will process and analyze Snapshot Wisconsin detection data working towards finalizing years of data. This incumbent of this position is expected to write custom SQL queries, write and annotate R code, fill data requests, and implement automated processing of research products whenever possible.
This person will assist in running statistical analyses and models and assessing model results. This position works under general supervision and will be based out of Madison, WI.
- Pull and process Snapshot Wisconsin trail camera data from an Oracle database and using custom SQL queries and R functions
- Fill data requests that come in from volunteers, students, researchers, and DNR employees
- Contribute to user acceptance testing of Oracle database changes that fix bugs or add features
- Contribute to custom R packages for data analysis, especially adding documentation and new functions
- Support Snapshot Team needs related to fixing and streamlining code and script
- Assess data quality and identify inconsistencies in data that require further assessment
- Identify and implement solutions to finalize annual Snapshot Wisconsin datasets
- Assess patterns in data to separate noise (e.g., sampling issues, classification differences, detection differences) from abundance trends
- Analyze trail camera data using a range of statistics and models that include covariates
- Analyze trail camera data using models that include covariates and assess model fit and predictions
- Visualize statistics and model predictions spatially and temporally
- Critique existing workflows to identify steps that could be improved with automation
- Develop and implement new procedures that increase automation and reduce manual processing
- Fully document processes to improve usability annually and for similar applications
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