Data Analyst II – People Analytics and Insights Analyst

Role Overview

The Data Analyst II will transform Human Resources, Talent Acquisition, and labor market data into a unified strategic analytics function within Power BI. The role will involve building scalable reporting solutions, translating complex datasets into executive-ready insights, and driving informed hiring, workforce planning, and talent investment decisions.

What You Will Do

Deliver integrated workforce, recruiting, and business insights by combining HR, talent, operational, financial, and external labor market data into executive-ready reporting, analytics, and strategic narratives. Build and maintain scalable dashboards, data models, reporting frameworks, automated pipelines, and analytics solutions.

Why It Might Be a Fit

The ideal candidate will be a blend of data analyst, storyteller, and strategic partner, with strong technical proficiency in SQL, Microsoft Excel, and HRIS/HCM reporting, and experience performing analytical research, trend analysis, root cause analysis, workforce planning analysis, and predictive analytics.

Requirements

• Bachelor’s degree in human resources, Information Systems, Business, Data Science, Analytics, or a related field.
• 3+ years of experience in People Analytics, HR Analytics, Talent Acquisition Analytics, Workforce Analytics, or related data and business intelligence functions within complex or global organizations.
• Proven experience translating complex, multi-source datasets into actionable insights, executive-level narratives, business recommendations, and strategic decision support.
• 3+ years of experience developing advanced dashboards and analytical solutions using Power BI, Tableau, and/or Sigma, including data modeling, calculations, semantic layers, and row-level security.
• Strong technical proficiency in SQL, Microsoft Excel, and HRIS/HCM reporting, with experience querying, transforming, analyzing, and visualizing complex datasets.
• Demonstrated experience performing analytical research, trend analysis, root cause analysis, workforce planning analysis, and predictive analytics to identify risks, opportunities, and future workforce outcomes.
• Strong analytical, communication, problem-solving, and stakeholder management skills, with experience leveraging AI and LLM-based tools to enhance analytics, insight generation, and business decision-making.

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Life insurance
• Disability insurance
• 401(k) or retirement plan
• Paid time off
• Paid holidays
• Flexible work arrangements
• Professional development opportunities

Tagged as: Data Analysis