DATA ANALYST III

About the Role

Key Responsibilities

• Oversees work of data analyst II and data analyst I positions.
• Develops, generates, and maintains reports using available report writing tools, including comprehensive management of the ERP report library.
• Ensures data accuracy and integrity in reporting.
• Monitors security access to reports to ensure user access is appropriate and follows state security standards.
• Provides training and support to end-users on reporting.
• Troubleshoots and resolves report issues.
• Analyzes data to identify trends, provide insights, and offer recommendations to support business decisions.
• Develops, modifies, and maintains dashboards, visualizations, and other metric reporting tools.
• Assists in testing system updates and fixes as required.

Requirements

• A minimum of five years of workforce analysis and report experience.
• 3+ years of intermediate to advanced experience and proficiency with Workday's functional modules, including HCM, Talent Management, Benefits, Time Tracking, Absence, Payroll, and Finance.
• 3+ years of hands-on experience with reports development lifecycle, including maintenance and regression testing of reports in Workday.
• 3+ years of hands-on experience with Workday Reporting development, including matrix reports, composite reports, calculated fields, custom objects, BIRTs, dashboards, and security.
• Solid understanding of Workday's business object model and relationships.
• Demonstrated ability to work effectively with end users, technical staff, and business leads.
• Possesses effective oral and written communication skills.
• Ability to handle difficult situations diplomatically and solve complex problems efficiently.
• Must be able to manage multiple priorities and meet deadlines in a fast-paced environment.
• Experience as a team lead is a plus.

Nice to Have

• Workday implementations in a government organization.

Qualifications

• Possession of a Master's Degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or a closely related field with technical and computational emphasis, and considerable employment as a data analyst.
• Or graduation from a four-year college with a Bachelor's Degree in a related field and extensive employment as a data analyst.

Benefits & Perks

• Not explicitly specified in the description.