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Analytics and Intelligence Analyst

Job in Boise, Ada County, Idaho, 83708, USA
Listing for: Micron Technology, Inc.
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: People Analytics and Intelligence Staff Analyst

Our vision is to transform how the world uses information to enrich life for all .

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Overview

We are seeking an experienced People Analytics and AI Analyst to join our Global People Analytics team. This role blends HR domain expertise, advanced analytics, AI literacy, data governance, and business partnership to deliver high-impact insights that shape workforce decisions. You will bring to bear internal people data, external market intelligence, and emerging AI‑enabled analytics capabilities to advance data maturity and self‑service adoption across the People Organization.

This role collaborates closely with HR COEs, HRBPs, and business leaders to deliver insights, data products, and analytics innovation — while ensuring high data quality and governance standards.

Responsibilities
  • Strategic, High‑Impact Analytics: Deliver actionable insights across talent acquisition, attrition, performance, learning, diversity, and organizational health. Build and maintain dashboards, visualizations, and data models that support enterprise decision-making. Translate complex business problems into structured analytical approaches.

  • AI, Advanced Analytics, and Innovation: Identify, scope, and support AI/ML use cases in HR (e.g., predictive attrition, skills intelligence, sentiment analysis, workflow automation). Apply AI literacy to evaluate model outputs, ensure responsible usage, and articulate limitations to customers. Partner with data science teams to design, test, and validate AI‑enabled insights. Document risks, assumptions, and ethical considerations for AI in HR, ensuring alignment with governance standards.

    Experiment with generative AI tools to improve analysis workflows, insights delivery, and automation.

  • Self‑Service Analytics & Enablement: Build intuitive self-service dashboards and analytics tools that scale across HR. Conduct training, user enablement, and adoption programs. Develop communications, guidance, and materials that increase analytics literacy and usage.

  • Data Governance & Data Quality: Lead data validation, profiling, and quality audits to ensure accuracy and consistency of HR data. Maintain metric definitions, data dictionaries, lineage documentation, and KPI standards. Partner with HRIS, Data Engineering, and Compliance to resolve data issues and improve data pipelines. Embed data quality checkpoints into visualization and data interpretation processes.

  • Consulting & Business Partnership: Act as a trusted analytics advisor to HR leaders and business customers. Deliver custom analytics, deep dives, and problem-solving sessions. Communicate complex insights simply and clearly, tailored to technical and non‑technical audiences.

Minimum Qualifications
  • 5–8+ years of experience in People Analytics, HR Analytics, or Workforce Insights with strong HR domain knowledge across talent processes and people metrics.

  • Strong proficiency with BI tools (Power BI, Tableau, Visier, etc.) and advanced skills in SQL, Python, R, or similar tools for analytics.

  • Experience implementing data governance practices: metric standardization, data lineage, data dictionaries, quality assurance.

  • Good communication, storytelling, influencing skills and able to lead projects from definition to delivery with high ownership.

  • Added Advantage for hands-on experience in the following AI competencies:
    Understanding of machine learning basics (predictive modeling, classification, regression, clustering). Experience applying or evaluating AI tools in an HR or business analytics context. Ability to interpret AI outputs, explain model insights, and identify risks or biases. Familiarity with generative AI and analysis workflows guided by user inputs.

Preferred Qualifications
  • Experience with Workday or other HRIS platforms.

  • Experience operationalizing AI/ML models or AI‑augmented analytics.

  • Experience developing global self‑service analytics products.

  • Experience in a multinational, matrixed organization.

The US base salary range…

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