Senior Data Analyst, Workforce Strategy

Aurora Innovation Aurora Innovation · Robotics · DFW1 · Operations

This role focuses on workforce strategy, involving forecasting, allocating, and optimizing headcount. It requires building financial and operational models, creating dashboards, and analyzing large datasets to identify trends in labor productivity and attrition. The role also involves applying probabilistic modeling, Python-based simulation, and AI to optimize resources and simulate trade-offs. While AI tools are used, the core function is data analysis and modeling for workforce strategy, not direct AI/ML model development.

What you'd actually do

  1. Partner with Operations, Strategy, Recruiting, and Finance leaders to forecast and align headcount needs against organizational strategy and roadmap
  2. Build sophisticated financial and operational models that connect business drivers to staffing requirements, recruiting / vendor management plans, and budget implications
  3. Build intuitive dashboards, metrics, and reports that highlight staffing utilization, labor productivity constraints, and capacity gaps
  4. Partner with senior Operations and Finance leaders to develop scenarios balancing service levels, cost optimization, and growth objectives
  5. Apply probabilistic modeling, Python-based simulation modeling, and artificial intelligence to simulate cost & efficiency trade-offs and resource optimization

Skills

Required

  • 5+ years of experience in data science, management consulting, investment banking, engineering operations, FP&A, or strategic operations, ideally in a fast-scaling tech environment
  • Bachelor’s degree and / or work experience in a quantitative field (e.g. Operations Research, Business Analytics, Economics, Math, Statistics, Finance)
  • Exceptional Excel / Gsheets financial modeling skills, SQL, Python and statistical modeling skills and working with business intelligence tools (e.g., Mode, Tableau)
  • Experience building/maintaining data pipelines and DBT models
  • Strategic mindset with ability to balance detailed analysis with big-picture thinking
  • Track record of multi-functional leadership and excellent stakeholder management to drive rapid, effective execution across the organization
  • Strong executive presence with demonstrated ability to communicate complex analyses clearly to senior stakeholders
  • Superior attention to detail
  • Ownership mentality to drive issues and tasks to completion, with a strong bias for action

What the JD emphasized

  • Apply probabilistic modeling, Python-based simulation modeling, and artificial intelligence to simulate cost & efficiency trade-offs and resource optimization