Part Time Oracle Database Administrator Jobs in Wisconsin

Introduction
We are dedicated to working with Wisconsinites while preserving and enhancing the natural resources of Wisconsin. In partnership with individuals and organizations; DNR staff manage fish, wildlife, forests, parks, air and water resources while promoting a healthy, sustainable environment and a full range of outdoor opportunities.
The Wisconsin DNR 's Office of Applied Science is hiring an LTE (Limited Term Employee) Wildlife Research Analyst to join the Snapshot Wisconsin Decision Support Research Program.
This program uses the 100+ million trail camera photos collected by the Snapshot Wisconsin program to conduct applied research and develop annual products that support wildlife decision making.
This position will be stationed at our Science Operations, in Madison, WI.
This recruitment may be used to fill future similar vacancies.
To see all opportunities currently available at DNR, follow this link: DNR (wisc.jobs) .
Position Summary
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.
50% Processing, documenting, sharing, troubleshooting, and finalizing trail camera detection data

• 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

20% Assistance with statistical analysis and model development

• 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

20% Automation development for annual wildlife research products

• 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

10% Other duties as assigned
Salary Information
This position pays $27.68 per hour and is classified as a Research Analyst- Senior in pay schedule and range 08-03. Compensation will be set in accordance with the State Compensation Plan.
Job Details
This is a Limited Term Employment (LTE) position and will not automatically lead to permanent state employment or be entitled to the same benefits as permanent employees.
More about LTE positions:
1) Offer a great opportunity to gain experience and learn about careers at the WI Department of Natural Resources.
2) Provide opportunities for individuals to enhance their resumes with skills learned on the job.
3) May accommodate flexibility for part-time or full-time work hours and seasonal schedules. Work schedules are dependent on business needs.
4) Allow individuals to hold multiple LTE appointments concurrently. If both LTE positions are at the same agency, the positions must be bona fide different positions. Each individual LTE position allows for maximum of 1039 hours in a twelve-month period.
Special Requirements:
1) Residency: To be considered for this position, you must be a resident of the State of Wisconsin.
A Wisconsin resident is a person who:
a. Has established a residence, as defined in s. 6.10(1), in this state not less than 10 days earlier;
b. Has resided in this state for not less than a total of one year out of the immediately preceding 5 years;
c. Is eligible to register to vote in this state; or
d. Is the spouse of a person meeting the requirements of par. (a), (b), or (c)." s.230.03(12), Wis. Stats.
2) Background Checks: The Department of Natural Resources conducts criminal background checks on final applicants prior to a job offer. Please note that a criminal charge or conviction on your record will not necessarily disqualify you from state employment. In compliance with the Wisconsin Fair Employment Act, the DNR does not discriminate on the basis of arrest or conviction record.
3) Eligible to work in U.S.: Applicants must be legally authorized to work in the United States at the time of hire. The Department of Natural Resources does not sponsor work visas at the time of hire or anytime during employment. All persons hired will be required to verify identity and eligibility to work in the United States and complete the required Employment Eligibility I-9 form upon hire.
Equal Opportunity Employer: The DNR is an equal opportunity employer that promotes and values diversity. We do not discriminate on the basis of race, ethnicity, religion, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability.
Qualifications
In addition to the required qualifications below, the selected candidate must be eligible to drive a state vehicle and meet the following criteria:

• Have a valid driver's license
• Be at least 18 years of age
• Have a minimum of two years licensed driving experience
• Have not had three (3) or more moving violations and/or at-fault accidents in the past two (2) years
• Have no OWI/DUI violations within the past year

Qualified candidates will have all of the following:

• Bachelor's degree or equivalent training/ experience in computer science, data science, quantitative ecology, or related field.
• Demonstrated proficiency with pulling and querying data from relational databases (e.g., SQL)
• Demonstrated proficiency with data cleaning, data wrangling and documentation using R or similar (e.g., tidyverse, RMarkdown)
• Demonstrated proficiency with data analysis coding languages (e.g., R and Python)
• Demonstrated proficiency with version control in GitHub, or similar
• Demonstrated proficiency with automation development

In addition, well-qualified candidates will have one or more of the following:

• Master's degree or higher in computer science, data science, statistics, quantitative ecology, biology or a related field
• Experience developing R packages
• Experience with Python
• Experience in research data collaborations
• Experience with trail camera research projects and trail camera data

How To Apply
Click the "Apply for Job" button and follow the directions. You will be able to save your application as many times as needed and make edits up until the point you submit your application. Once you submit your application, you will not be able to make any updates to the application or any materials submitted.
Please note that the Wiscjobs system will time you out after 30 minutes of activity, so be sure to save your work often to avoid having to re-start the application process.
For any position-related questions, please feel free to contact Jennifer.Stenglein@wisconsin.gov.
For technical questions and troubleshooting related to the Wisc.Jobs site, please visit Commonly Asked Questions. Keep in mind that technical assistance is only available Monday through Friday 7:45 am - 4:30 pm.
Your resume and letter of qualifications are very important parts of your application and are used during our evaluation process to determine your qualifications as they relate to the job. For instructions on developing your resume and letter of qualifications and what should be included in these materials, click here .
Deadline to Apply
Applications must be received by 11:59pm, Central Time, on July 13 th , 2026 in order to be considered.