Senior Data Analyst, Operations Workforce Strategy

Requirements 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 job involves We are searching for a Senior Data Analyst, Operations Workforce Strategy to join the Aurora Data Solutions team, who would be based in San Francisco, CA. In this role, you will forecast, allocate, and optimize all operations headcount to align resource plans and schedules to hiring and vendor engagement strategies. You will be at the forefront of our staffing and vendor management strategy, working closely with cross‑functional teams to gather and analyze data, identify trends, and develop plans that support our operational goals. This role requires strategic orchestration, analyzing workforce needs, and driving momentum under a fast‑paced, ever‑changing environment. Partner with Operations, Strategy, Recruiting, and Finance leaders to forecast and align headcount needs against organizational strategy and roadmap. Build sophisticated financial and operational models that connect business drivers to staffing requirements, recruiting/vendor management plans, and budget implications. Build intuitive dashboards, metrics, and reports that highlight staffing utilization, labor productivity constraints, and capacity gaps. Partner with senior Operations and Finance leaders to develop scenarios balancing service levels, cost optimization, and growth objectives. Apply probabilistic modeling, Python‑based simulation modeling, and artificial intelligence to simulate cost & efficiency trade‑offs and resource optimization. Lead monthly headcount data analysis and vendor management strategy reviews to synthesize headcount performance inputs from multiple stakeholders into cohesive strategic recommendations. Analyze large, disparate datasets to uncover statistical trends in labor productivity and attrition. Monitor workforce KPIs and identify program gaps or execution issues that impact profitability and scalability. Improve data integrity and automate manual reporting workflows to increase functional efficiency. #J-18808-Ljbffr Aurora