Statistical Programming Analyst II

• Develops comprehensive reports and analyzes data in order to identify patterns and trends
• Assists in creating materials that aid in illustrating analytical/data findings
• Assists with sophisticated data interpretation, compilation, and verification to guide departmental efforts
• Designs, codes, maintains and executes simple to complex database programs for the extraction and presentation of data for standard and ad hoc reporting
• Utilizes statistical programming tools to identify patterns and trends in data
• Assists in sampling design, sample selection, and relevant projections
• Performs statistical validations of sampling and related projections
• Assists with the preparation of charts, illustrations, other graphics and narrative reports to explain findings
• Assists with the development of complex statistical analysis, including standard reporting, AD HOC reporting, and data mining tools
• Provides assistance in development of project plans and system life cycle maintenance, development of change requests and test plans impacting existing databases, and in the research of new sources for data
• Verifies data in existing databases and assists in the collection of data and management of existing databases
• Creates supporting documentation outlining procedures within scope of responsibility

• Bachelor's in a job-related field
• 2 Years statistical programming or statistical interpretation
• Good organizational, customer service, and analytical skills
• Ability to use complex mathematical calculations
• Demonstrated knowledge of mathematical or statistical concepts
• Relevant computer programming skills
• SQL experience (preferred)
• SAS Programming experience (preferred)
• Python experience (preferred)
• Exposure to Power BI (preferred)

Demonstrates expertise in statistical programming and data analysis, utilizing tools such as SQL, SAS, and Python to extract and present data effectively. Proficient in creating comprehensive reports and visualizations to communicate analytical findings and support decision-making.

• Statistical Programming
• SQL Experience
• SAS Programming
• Python Experience
• Data Analysis

• Statistical Interpretation
• Data Compilation
• Data Verification
• Mathematical Calculations
• Statistical Validation
• Data Mining
• Database Management
• Reporting
• Sampling Design
• Complex Statistical Analysis

• Organizational Skills
• Customer Service Skills
• Analytical Skills

• Data Trends
• Data Patterns
• Ad Hoc Reporting
• Project Plans
• System Life Cycle Maintenance

• Power BI