Senior Data Analyst, Operations Workforce Strategy

Senior Data Analyst, Operations Workforce Strategy at Aurora – located in San Francisco, CA. As a data analyst in the Aurora Data Solutions team, you will forecast, allocate, and optimize our operations headcount to align resource plans and schedules with hiring and vendor engagement strategies. You will be at the forefront of staffing and vendor management, working closely with cross‑functional teams to gather and analyze data, identify trends, and develop plans that support operational goals in a fast‑paced, evolving environment. Responsibilities Partner with Operations, Strategy, Recruiting, and Finance leaders to forecast and align headcount needs with organizational strategy and roadmap. Build sophisticated financial and operational models that connect business drivers to staffing requirements, recruiting/vendor management plans, and budget implications. Create 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 AI to simulate cost‑efficiency trade‑offs and resource optimization. Lead monthly headcount data analysis and vendor management strategy reviews, synthesizing 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. Qualifications 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 (Operations Research, Business Analytics, Economics, Math, Statistics, Finance). Exceptional Excel/Google‑Sheets financial modeling skills, SQL, Python and statistical modeling skills, and experience with business intelligence tools (e.g., Mode, Tableau). Experience building/maintaining data pipelines and DBT models. Strategic mindset with the 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. Base salary range: $115,000.00-$167,000.00 per year. The successful candidate’s starting base pay will be determined based on factors including job‑related skills, experience, qualifications, relevant education or training, and market conditions. This range may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. We consider candidates without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. We consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at View email address on click.appcast.io. #J-18808-Ljbffr Aurora CO