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Analyst, IT​/Tech, Business Intelligence

Job in Phoenix, Maricopa County, Arizona, 85001, USA
Listing for: SoTalent
Full Time position Listed on 2026-11-08
Job specializations:
  • IT/Tech
    Business Intelligence, Data Analyst
  • HR/Recruitment
Salary/Wage Range or Industry Benchmark: 108200 - 202800 USD Yearly USD 108200.00 202800.00 YEAR

Job Description & How to Apply Below

Position: People Analyst

People Analytics Consultant - Workforce Insights & Reporting

Location: Remote - US

Salary: $108,200-$202,800 per year, depending on location and qualifications

Work arrangement: Remote, full-time

About the Role

A People Analytics professional is sought to support senior HR and People leaders through workforce data analysis, reporting and actionable insights. The role combines analytical problem-solving, stakeholder consulting and data storytelling to improve organisational decision-making.

Key Responsibilities
  • Partner with senior People leaders to identify priorities and deliver data-driven recommendations.
  • Develop dashboards, reports and analyses covering workforce trends, employee experience, talent outcomes and organisational health.
  • Use SQL, analytics tools and AI to automate reporting and scale insights.
  • Translate complex or ambiguous business questions into structured analysis and practical recommendations.
  • Present findings and recommendations through clear, executive-ready materials.
  • Collaborate across HR, Talent Acquisition, Compensation, People Operations, DEI and Learning functions.
  • Improve data quality, reporting consistency and self-service analytics.
  • Identify workforce trends, risks and opportunities.
Requirements
  • 5+ years of experience in management consulting or client management.
  • Understanding of HR operations, talent processes, workforce planning and employee lifecycle data.
  • Experience advising senior stakeholders and translating business questions into analytical solutions.
  • Strong SQL skills and experience working with large, complex datasets.
  • Knowledge of data architecture, data models, data quality and analytics workflows.
  • Familiarity with Workday, Greenhouse, Qualtrics or similar platforms.
  • Strong communication and data storytelling skills, including presenting to executive audiences.
  • Sound judgement when handling sensitive employee information.
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