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Talent Analyst role within the Talent Analytics & Operations (TAO) team, focused on building data and systems to enable intelligent hiring. The role involves owning recruiting analytics, designing data infrastructure, defining new metrics, and translating data into strategic insights to support Luma's growth.
Job Responsibility:
Recruiting analytics and reporting
Data infrastructure
New metrics and frameworks
Insights and recommendations
Automation and workflows
Requirements:
2-4 years working with data in a business context (analytics, ops, BI, or similar)
Strong SQL skills (complex queries, joins, window functions without Googling)
Experience building dashboards or reports that informed real decisions
Some experience with data infrastructure (databases, pipelines, ETL concepts)
Comfort with messy, imperfect data and the judgment to know what to fix vs. ignore
Experience at a startup or high-growth company (you know the pace)
Clear written and verbal communication
Nice to have:
Python for data work (pandas, notebooks, API integrations)
Experience designing or maintaining a data warehouse (even a lightweight one)
Experience with recruiting, HR, or people data specifically
Exposure to, ideally worked strongly with, AI-assisted tools and workflows (using Claude, ChatGPT, or similar for data work)
Familiarity with ATS/CRM systems (Gem, Greenhouse, Lever, Ashby, etc.)
Experience with automation tools (Zapier, n8n, Make)