Senior Talent Operations & Analytics Lead

Omnicom Media; New York (NY); On-site; USD 80,000 - 90,000; Full time

Job summary

Omnicom Media is seeking a Senior Analyst, Talent Operations to support Talent Acquisition through reporting, data analysis, and data quality initiatives. The role involves building and maintaining recruiting reports and dashboards, validating data across sources, and translating findings into actionable insights for business decisions.

The ideal candidate will be highly proficient in Microsoft Excel, comfortable with large datasets, and capable of identifying trends, anomalies, and data-quality

Qualifications

• 5+ years in Talent Acquisition Operations or Recruiting Operations.
• Experience developing recruitment reporting, analytics, and dashboards.
• Excel proficiency with PivotTables, XLOOKUP, advanced formulas, data validation, Power Query.
• Experience combining data from multiple sources and ensuring data quality.
• Ability to translate data into actionable insights for leadership.
• Proficiency with Word and PowerPoint for stakeholder presentations.

Responsibilities

• Develop and maintain recruitment reports, dashboards, and analyses for leaders and stakeholders.
• Consolidate and structure large datasets from Workday and other sources.
• Define recruiting KPIs and monitor activity across the lifecycle.
• Identify trends, anomalies, and data-quality issues and propose corrective actions.
• Audit requisitions to ensure completeness and accuracy; close data gaps with teams.
• Provide training and guidance on processes, reporting, and data quality.

Skills

Advanced Excel

Data analysis

Stakeholder communication

Problem solving

Tools

Workday

PivotTables

XLOOKUP

Power Query

Copilot AI

Word

PowerPoint

Job description

Omnicom Media is seeking a Senior Analyst, Talent Operations to support Talent Acquisition through reporting, data analysis, and data quality initiatives. The role involves building and maintaining recruiting reports and dashboards, validating data across sources, and translating findings into actionable insights for business decisions.

The ideal candidate will be highly proficient in Microsoft Excel, comfortable with large datasets, and capable of identifying trends, anomalies, and data-quality