Senior Data Analyst, Aurora
Workforce Strategy
$104-150k
+ Bonus & Equity
3 days a week in office
Self-driving technology company
Open for applications
Self-driving technology company
1001+ employees
Open for applications
$104-150k
+ Bonus & Equity
3 days a week in office
1001+ employees
Company mission
To deliver the benefits of self-driving technology safely, quickly, and broadly.
Role
Who you are
- 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, Workforce Strategy to join the Operations Excellence 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
- Improving data integrity and automating manual reporting workflows to increase functional efficiency
Our take
The trucking industry is facing growing pressure from driver shortages, rising delivery demand, and the need for safer, more efficient freight transport. Long highway routes are expensive and tiring for drivers, especially on repetitive trips so companies are looking for new ways to move goods faster and more reliably while keeping costs low and improving safety.
Aurora Innovations is developing self-driving technology for long-haul trucks through its "Aurora Driver" system. Already, the company is operating autonomous freight routes across Texas and nearby states, often handling the highway portion of deliveries while human drivers complete local drop-offs. On top of this, the company is partnering with major companies like McLane, Volvo Autonomous Solutions, and Hirschbach to bring autonomous trucking into real commercial use.
In an exciting move, Aurora is now going beyond testing and into large-scale operations. McLane has approved driverless freight runs between Dallas and Houston, while Volvo and Aurora have expanded autonomous deliveries into Oklahoma City. With plans to scale routes across the US and agreements for hundreds of future autonomous trucks, Aurora is gearing up to play a very powerful position in autonomous freight transport.
Steph
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Dec 2020
$400m
GROWTH EQUITY VC
Feb 2019
$600m
SERIES B
Total funding: $1.1bn
Company HQ
Strip District, Pittsburgh, PA
Leadership
Chris Urmson
(Co-Founder & CEO)Chris graduated from Carnegie Mellon University with a PhD in Robotics. Prior to co-founding Aurora in 2017, they were the CTO of Self-Driving Cars at Google.
Drew Bagnell
(Co-Founder & Chief Scientist)Drew is a Consulting Professor at Carnegie Mellon University, where they received their PhD in Robotics. Previously, they were an Autonomy Architect & Perception Lead at Uber Advanced Technology Center.
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