Data Analyst 1

Job Description

The incumbent of this position will report to the Data Analysis Unit within the Office of Emergency Management.
Duties include but are not limited to the following:
•Design and maintain data pipelines and extract, transform, and load (ETL) processes to support analytical workflows.
• Translate complex datasets, including spatial data, into structured, analysis-ready formats. This includes cleaning and pre-processing data to remove inconsistencies, inaccuracies, and duplication.
• Write and execute code in R, Python, or a similar programming language to automate data processing and analysis tasks
• Analyze data using appropriate statistical techniques to test hypotheses and solve complex problems related to Emergency Management.
• Use visualization software (e.g., Excel, Tableau, Power BI) to share analytic findings.
• Summarize results, creates static and interactive products, and collaborate with program areas to develop solutions to identified needs.
• Communicate technical information to non-technical audiences in products and presentations.
• Develop project documentation and contribute to maintenance of existing products.
• Review and suggest improvements to current or planned systems and processes.
• Perform other duties as assigned in support of the agency's mission or other program areas.
• Support emergency operations during times of emergency and disaster from the SEOC, state field offices, and/or local deployments.
• Travel may be required.

Minimum Qualifications:
NON-COMPETITIVE
six years of experience* in data visualization, and statistical models and data mining tools.
*Substitution: An associate's degree may substitute for two years of general experience; or a bachelor's degree may substitute for four years of general experience. A master's degree in data or computer science, informatics, economics, statistics, mathematics, or a related field, may substitute for one year of general experience; or a Ph.D. in these fields may substitute for two years of general experience.

Requirements

NON-COMPETITIVE
six years of experience* in data visualization, and statistical models and data mining tools.
*Substitution: An associate's degree may substitute for two years of general experience; or a bachelor's degree may substitute for four years of general experience. A master's degree in data or computer science, informatics, economics, statistics, mathematics, or a related field, may substitute for one year of general experience; or a Ph.D. in these fields may substitute for two years of general experience.