Talent Operations Analyst responsible for improving operational efficiency and compliance through data analytics in HR processes. Handling onboarding, ticket resolutions, and I-9 management effectively.
Responsibilities
Own and maintain core reporting and analytics for onboarding timelines by legal entity, ticket resolution metrics, and I-9 compliance audits.
Develop and enhance dashboards in Power BI to deliver actionable insights to business and HR leadership.
Partner with cross-functional stakeholders to identify process bottlenecks, data inconsistencies, or compliance risks, and recommend data-driven solutions.
Analyze onboarding throughput and completion trends to support staffing and operational planning.
Monitor and validate I-9 compliance data for accuracy, timeliness, and adherence to federal and company standards.
Track and report ticket volumes, response times, and resolution quality, ensuring alignment with service-level expectations.
Support process documentation and continuous improvement initiatives within the Talent Operations and Compliance function.
Prepare and present clear, concise summaries and recommendations to leadership.
Requirements
Bachelor’s degree in Business, Data Analytics, Human Resources, or a related field.
3+ years of experience in data analysis, operations, or compliance analytics (or equivalent combination of education and experience).
Proficiency in Microsoft Excel (advanced functions, pivot tables, formulas), Power BI (data modeling, dashboards, DAX), and SQL (query development and optimization).
Strong written and verbal communication skills, with the ability to translate complex data into actionable insights.
High attention to detail, accuracy, and confidentiality when handling sensitive employee or compliance data.
Proven ability to work independently, prioritize multiple deliverables, and meet deadlines in a fast-paced environment.
Experience supporting HR, compliance, or talent operations analytics.
Familiarity with onboarding systems, ticketing tools, and HRIS platforms.
Demonstrated success identifying process gaps and implementing data-backed solutions.
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