Recruiting Operations Analyst

Box•Chicago, IL

7d•$67,000 - $75,000•Hybrid

About The Position

Box is seeking a Recruiting Operations Analyst to join their team. This role is crucial for building the recruiting function of the future, focusing on data-informed decisions, process optimization, and AI integration. The analyst will own the recruiting data infrastructure, manage the tech stack, and drive enablement and ROI for all tools. A key aspect of the role is experimenting with and building AI-assisted workflows to transform recruiting operations. Box is an AI-first company that values collaboration and in-person interaction, with employees expected to work from the office at least 3 days a week.

Requirements

2+ years in Recruiting Operations, Talent Analytics, People Operations, or a similar data-focused role
Strong analytical instincts — you're comfortable working with messy data, building reports from scratch, and surfacing patterns that matter
Hands-on experience with recruiting or HR systems (Greenhouse ATS strongly preferred)
Proficiency with reporting tools and data visualization — Excel, Google Sheets, or BI tools like Tableau or Looker
Genuine curiosity about AI and automation — you don't need to be an engineer, but you should be someone who tinkers, experiments, and has opinions about where AI can and can't add value
Strong collaborator and communicator — you can tell a data story that moves people to action
Based in Chicago, IL

Nice To Haves

Experience with recruiting analytics programs or KPI frameworks
Experience with API integrations or low-code/no-code automation tools
Familiarity with AI tools in a recruiting or HR context — whether that's prompt engineering, building GPT-based workflows, or experimenting with agent frameworks
Experience supporting OFCCP compliance reporting or other data-driven compliance frameworks

Responsibilities

Partner and collaborate with Recruiters, Recruiting Managers, and cross-functional partners such as People Analytics, People Operations.
Support stakeholders with recruiting dashboards to raise the proficiency level across the recruitment team — covering pipeline health, funnel conversion, time-to-fill, source effectiveness, and more.
Ensure data integrity across all recruiting systems; establish and maintain processes that keep our data accurate and trustworthy.
Translate complex data into clear, actionable insights for recruiters, hiring managers, and senior leadership.
Build enablement resources such as: reporting guides, data dictionaries, metric definitions that empower the team to self-serve on data.
Serve as an admin and subject matter expert for Greenhouse ATS, including configurations, workflows, permissions, integrations, and reporting.
Help optimize our broader recruiting tech stack (Greenhouse, Workday, FindEm, CoderPad, and others), with a sharp eye on how tools work together and where the stack has gaps.
Troubleshoot data discrepancies and system issues, providing hands-on support to recruiters and hiring teams.
Support process improvement initiatives using data to identify inefficiencies and measure the impact of changes.
Actively experiment with AI-assisted workflows that reduce manual work, improve data quality, or accelerate recruiting processes.
Identify automation opportunities across the recruiting function and prototype solutions whether that's an AI-powered reporting pipeline, a Greenhouse integration, or a candidate communication workflow.
Contribute to the team's broader AI fluency by sharing what you're building, what's working, and what isn't.