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We are looking for a Recruiting Systems and Analytics Lead to build and maintain the infrastructure that powers how we hire. In this role, you will own our core recruiting tools, design the data flows that connect them, and create the dashboards and insights that help our Recruiting, Finance, and People teams make thoughtful and informed decisions.
Job Responsibility:
Own and improve Mercury’s recruiting systems (Greenhouse, Ashby, GoodTime) and their integrations with Lattice, Workday, Caro, and other tools
Build and automate data pipelines so hiring plan, funnel, and performance data stay consistent across systems
Analyze recruiting data to spot patterns, diagnose issues, and find ways to speed up and strengthen our hiring
Create and maintain dashboards that show time to fill, funnel health, quality of hire, interviewer performance, and hiring plan progress
Partner with Recruiting Operations, Finance, and People Ops to keep headcount and variance reporting accurate
Improve data hygiene through audits, validation rules, and helpful automation
Report on core programs, including interviewer training, referrals, DEIB, and tool governance
Lead AI and automation projects that reduce manual work and improve data quality
Turn complex data into clear recommendations for recruiting leaders and Mercury leadership
Act as a technical partner to recruiting leads and help them use dashboards and forecasts on their own
Requirements:
5 - 8 years of experience in Recruiting Operations, Recruiting Systems, Recruiting Analytics, or a similar role
Advanced Excel and Google Sheets skills, both in analyzing data and translating it into insights
Experience building dashboards in Tableau, Looker, or a similar BI tool
Deep familiarity with administering or optimizing recruiting systems (Greenhouse, Ashby, Workday, or comparable ATS tools)
Strong understanding of recruiting processes, data structures, and system dependencies
Excellent communication skills, with the ability to simplify technical concepts for non-technical partners
A strong eye for improving processes and the ability to use AI to automate
A proactive, systems-oriented mindset and interest in improving how teams operate through automation and data
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