Senior Data Analyst, Workforce Strategy at Aurora

You're a seasoned analyst with at least five years of experience in quantitative fields like data science or finance, and you're proficient in advanced modeling

Work type: hybrid

Location: San Francisco, California

Salary: $115,000 – $167,000/yr

Type: Full-time

Summary

You're a seasoned analyst with at least five years of experience in quantitative fields like data science or finance, and you're proficient in advanced modeling and data manipulation. A Bachelor's degree in a quantitative discipline is required. **What makes it worth a look...** Aurora is offering a full-time, hybrid Senior Data Analyst role in San Francisco, California, with a base salary range of $115,000 to $167,000 per year, plus bonus and equity. You'll play a key role in shaping the company's workforce strategy. **You might be a good fit if you...** * Have 5+ years in data science, consulting, or FP&A in a fast-scaling tech environment. * Possess exceptional Excel/Gsheets financial modeling skills, SQL, Python, and statistical modeling. * Have experience building data pipelines and DBT models. * Can analyze large, disparate datasets to uncover statistical trends.

Job Description

Who we are

Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.

[The Aurora Driver](https://aurora.tech/aurora-driver) will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.

At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit [aurora.tech](https://aurora.tech/) or follow us on [LinkedIn](https://www.linkedin.com/company/auroradriver).

We are searching for a Senior Data Analyst, Workforce Strategy to join the Operations Excellence team. 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.

#### In this role, you will:

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

Improving data integrity and automating manual reporting workflows to increase functional efficiency

Required 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 (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

The base salary range for this position is$115,000 - $167,000 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, 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. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-KM2

#Mid-Senior

Working at AuroraAt Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.

We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.

Our[ Careers page](https://aurora.tech/careers) provides insight into what it is like to work at Aurora, and you can find all the latest updates in our [Newsroom](https://aurora.tech/newsroom).

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