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NinjaOne

RMM, endpoint, MDM IT management platform

Senior Analyst - Talent Analytics & Business Intelligence

Data Science +1Posted on Nov 11
Full-timeAustin, TX, USANo salary listedHybrid

About the Job

Requirements

  • Five or more years of experience in business intelligence, data analytics, people analytics, recruiting analytics, or a related analytical role.
  • Strong SQL proficiency, including experience joining multiple data sources, developing reusable analytical datasets, and validating complex calculations.
  • Demonstrated experience independently building dashboards and reporting solutions in Power BI, Tableau, Looker, or a comparable business intelligence platform.
  • Hands-on experience with data modeling, data transformation, and data quality controls.
  • Experience developing forecasts, capacity models, or scenario analyses that inform business decisions.
  • Practical experience using APIs, scripting, or automation tools to streamline data preparation and recurring analytical work.
  • Advanced Excel or Google Sheets skills.
  • Ability to translate ambiguous business questions into structured analyses, technical requirements, and actionable recommendations.
  • Strong communication skills and experience presenting findings to leaders and cross-functional partners.
  • Ability to establish new capabilities, work independently, and prioritize effectively in a growing organization.
  • A bachelor's degree in a relevant field or equivalent practical experience.
  • Candidates must be U.S. citizens or lawful permanent residents.
  • Candidates must reside outside Chicago city limits or be willing to self-relocate.

Responsibilities

  • Design, develop, and maintain dashboards that provide visibility into hiring demand, recruiting performance, pipeline health, and progress against hiring plans.
  • Establish consistent metric definitions, reporting logic, and analytical methods across regions and functions.
  • Analyze recruiting funnel performance, conversion rates, time in stage, source effectiveness, offer acceptance, and hiring outcomes to identify opportunities for improvement.
  • Develop self-service reporting that gives leaders timely access to trusted information.
  • Translate findings into clear recommendations that support operational and strategic decisions.
  • Build and maintain capacity models that connect hiring demand, recruiter workload, productivity, requisition complexity, and expected hiring timelines.
  • Develop hiring forecasts and scenario analyses to help leaders evaluate priorities, resource requirements, and delivery risks.
  • Assess tradeoffs across internal recruiting capacity, contract recruiters, and agency support.
  • Incorporate relevant workforce planning inputs, including approved headcount, anticipated attrition, geography, and historical hiring performance.
  • Monitor actual results against assumptions and refine models as business needs and recruiting conditions change.
  • Use SQL and other technical tools to combine, transform, and reconcile data from recruiting, HR, workforce planning, and related business systems.
  • Build and maintain reusable analytical datasets and data models that support consistent reporting and analysis.
  • Establish validation checks to identify missing information, inconsistent definitions, and data discrepancies.
  • Investigate data quality issues and partner with system and process owners to resolve their underlying causes.
  • Document data sources, business rules, calculations, and dependencies so analytical solutions can be maintained and scaled.
  • Automate recurring reporting, data preparation, reconciliation, and quality checks to reduce manual effort and improve reliability.
  • Use APIs, scripting, and approved automation tools to support data extraction, transformation, and analytical workflows.
  • Serve as a technical resource for Greenhouse reporting, data access, and analytics-related improvements.
  • Translate analytical needs into technical requirements and partner with HRIS and Business Systems Engineering on integrations, testing, and troubleshooting.
  • Evaluate new tools and capabilities, including AI-enabled solutions, that can improve insight delivery and operational efficiency.
  • Partner with Talent Acquisition leaders to frame business questions, prioritize analytical work, and define measures of success.
  • Assess recruiting channel performance, agency effectiveness, resource utilization, and recruiting costs.
  • Present findings to technical and nontechnical audiences, clearly explaining assumptions, limitations, and recommended actions.
  • Help stakeholders interpret dashboards and apply insights consistently.
  • Follow established access controls and data handling standards for candidate and employee information.

Desired Qualifications

  • Experience in talent acquisition analytics, people analytics, workforce planning, or recruiting operations, with an understanding of recruiting funnels and hiring metrics.
  • Experience working with Greenhouse or another applicant tracking system, including reporting structures and data extraction.
  • Experience connecting applicant tracking system, human resources information system, and workforce planning data.
  • Proficiency in Python or another scripting language for data manipulation, analysis, and automation.
  • Familiarity with cloud data warehouses, extract/load/transform or extract/transform/load processes, and version control.
  • Experience building analytical capabilities within a global, rapidly growing organization.
  • Experience evaluating recruiting productivity, agency costs, and resource effectiveness.

About the Company

NinjaOne

RMM, endpoint, MDM IT management platform

NinjaOne provides a cloud-based IT management platform for IT teams and MSPs, combining RMM, endpoint management, and MDM in a single SaaS solution. It includes automated patch management, remote access, and data backup to manage devices and networks from one dashboard. The product is subscription-based, with a centralized dashboard for monitoring devices, automating tasks, pushing patches, remote access, and data protection. The company aims to streamline IT operations, improve service delivery, and strengthen security for IT departments and MSPs serving multiple clients.

Company size
1,001-5,000
Company stage
Private
Total funding
$761.5M
Headquarters
Austin, TX
Founded
2013

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