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HRIS Workforce planning Analyst

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Trilyon, Inc.
Full Time position
Listed on 2026-03-10
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: HRIS Workforce planning Analyst-

The Workforce Planning function at Anthropic needs a Business Analyst who can be the technical backbone of how we plan, track, and optimize headcount. This role sits at the intersection of systems engineering and business partnership
—you’ll build and maintain the configurations, pipelines, and analytical tools that make workforce planning actually work.

Day‑to‑day, you’ll own Workday configuration and data quality
, build reporting and automation that serves planning stakeholders, and work closely with the Program Manager and cross‑functional teams to ensure our systems support accurate forecasting. You’ll consult directly with managers and business leaders on headcount decisions, translating their strategic questions into technical solutions
. Maintaining high data integrity across our people systems isn’t a side responsibility here—it’s core to the role and to the trust that leaders place in our planning process.

This is for someone who finds genuine satisfaction in building clean data infrastructure and scalable technical solutions
—and who wants to do it in an environment that moves fast and values the work.

Requirements
  • 3+ years as a business systems analyst / data analyst / HRIS analyst at technology companies
  • Advanced SQL — querying large datasets, building reports, creating data pipelines from Workday or similar HRIS platforms
  • Strong spreadsheet skills (Excel / Google Sheets)
    advanced formulas, pivot tables, data visualization, automation
  • Experience with Python, Big Query, Tableau, or BI/data tools
  • Experience translating business requirements → technical solutions and system configurations
  • Ability to build dashboards, automated reports, and self‑service analytics tools
  • Detail‑oriented
    , strong data quality management and documentation practices
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