Senior People Analytics and Insights Analyst

5 hours, 43 minutes ago
Senior
Data Science and Analytics
Kaseya

Kaseya

Kaseya provides integrated IT management and security solutions for MSPs and SMBs, enabling centralized IT operations, remote management, cybersecurity, and automation.

IT Services
1K-5K
Founded 2000
$567M raised

Description

  • Deliver unified workforce and recruiting insights by synthesizing data from Oracle HCM, Greenhouse, and external sources.
  • Translate HR metrics into executive-ready narratives using trend analysis, root-cause insights, and business outcome connections.
  • Build automated pipelines, predictive models, and self-service reporting to shift analytics from reactive reporting to proactive decision support.
  • Partner with HR, Talent Acquisition, Finance, and Data Engineering to ensure workforce and recruiting data is accurate, consistent, and actionable.
  • Design and maintain Snowflake pipelines that integrate Oracle HCM, Greenhouse, and reporting layers.
  • Build and maintain Power BI dashboards and semantic models for workforce, recruiting, and labor market trends.
  • Develop scalable enterprise reporting and complex data extracts for workforce and recruiting datasets.
  • Champion a data-driven culture by helping HR and Talent Acquisition teams interpret analytics and use insights effectively.
  • Analyze talent supply, competitive hiring dynamics, and compensation benchmarks to inform hiring strategy and workforce location decisions.

Requirements

  • Bachelor's degree in Human Resources, Information Systems, Business, Data Science, or a related field.
  • 5+ years of experience in HR analytics, Talent Acquisition analytics, or people data environments in complex or global organizations.
  • Experience translating complex multi-source data into clear narratives and insights that influence leadership decisions and workforce strategy.
  • 4+ years of experience developing advanced dashboards in Power BI, including star-schema data modeling, advanced DAX calculations, and row-level security.
  • 2+ years of SQL experience querying and transforming complex datasets.
  • 2+ years of experience with Microsoft Excel, including PivotTables, complex formulas, and lookup functions.
  • 1+ years of hands-on experience with Oracle HCM building, developing, and publishing reports and/or dashboards.
  • Strong understanding of HR metrics and recruiting KPIs such as headcount, turnover, recruiting funnels, hiring plan attainment, diversity hiring progress, and workforce movement.
  • Hands-on experience with Greenhouse or similar ATS platforms, including sourcing attribution models, recruiting funnel benchmarks, and full-lifecycle hiring analytics.
  • Experience with LinkedIn Talent Insights or similar tools to interpret external talent market signals.
  • Experience using Python or R for predictive modeling and workflow automation, with interest in Generative AI or LLM-based tools.
  • Familiarity with modern data pipeline tools and modeling HR and recruiting data in Snowflake.
  • Understanding of global data privacy frameworks such as GDPR and CCPA as applied to HR data governance, payroll reporting, and employee data management.

Interested in this position?

Apply directly on the company website

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