thetradedesk
Sr. Talent Acquisition Operations Analyst
At a Glance
- Location
- New York, United States
- Experience
- 4–6 years
- Posted
- 2026-03-05T18:35:39-05:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Healthcare
- Insurance
- Medical
Benefits & Perks
ffers a competitive benefits package. Click here to learn more. Note: Intern
Requirements
Data & Analytics
Analyze recruiting data using existing tooling in ATS, Tableau, and other HR Systems; translate findings into clear insights.
Support design, testing, and implementation of dashboards in Tableau or similar BI tools partnering with BI teams.
Understand recruiting data structures and system dependencies.
Use data to evaluate performance and drive decisions.
Systems & Technology
Responsibilities
Build and automate data pipelines so our hiring plan, funnel metrics, and performance data stay clean, synced, and reliable across every system.
Dig into recruiting data to spot trends, troubleshoot bottlenecks, and uncover opportunities to hire faster and smarter.
Own dashboards that track time‑to‑fill, funnel health, quality of hire, interviewer performance, and hiring plan progress and keep them fresh.
Team up with Talent Ops, Finance, and People Ops to make sure headcount and variance reporting stays tight and accurate.
Level up data hygiene with audits, validation rules, and smart automations that eliminate messy manual work.
Report on key programs such interviewer training, referrals, tool governance and highlight what’s working (or not).
About the Company
We’re looking for a Recruiting Analytics Lead to level up the data engine behind how we hire across our Industry, Executive, and University eco-system. You’ll build, maintain, and scale the systems and workflows that keep our recruiting data clean, connected, and actually useful. In this role, you’ll design the data flows that tie everything together and create the dashboards and insights that help our Recruiting, Finance, and People teams execute smart, confident decisions. This role sits at the intersection of talent acquisition and data analytics, requiring both recruitment knowledge and strong analytical capabilities to optimize the hiring process through data-driven insights.