Sr. Data Analyst

Description

You will lead analytics across the engineering operations organization and help manage its high-priority technical services, including the company's next-generation map.

Working with the team, you will design the metrics that decide which initiatives get priority, drive ongoing improvement, and show results.

You will advise the Labeling, Analysis and Protocol teams and take on the work that yields the most important insights for the whole group.

You will also work with engineering partners to understand and support the complex services these teams depend on.

Responsibilities

• Lead new projects and processes that raise operational efficiency or data quality.
• Build and launch tools and processes that measure operational efficiency and the quality of data products.
• Scope and run analyses, experiments and pilots that shape product direction and answer cross-cutting strategic questions.
• Learn the technical details and key datasets, then work with stakeholders to design improvements and solutions.
• Track progress and report it to leadership and stakeholders, making the impact of the work clear.
• Handle ad-hoc analytics requests as they arise.

Requirements

• 5+ years of work experience, including in consulting, finance, business operations or tech startups.
• Strong SQL and/or Python, with experience building metrics and KPIs for complex systems.
• Experience designing original, sophisticated strategies in a complex and emerging industry.
• Skill in writing and presenting executive-level communications on high-impact, contested decisions.
• A record of analytical thinking: asking data-driven questions, producing insightful analysis, and defining and improving KPIs for ongoing program improvement.
• Ability to influence without formal authority and build consensus across diverse stakeholders for new ideas.
• Experience managing vendors and stakeholders, and communicating with external partners.
• Competitive edge: experience with autonomous driving technology or a real interest in how it could change transportation.
• Competitive edge: understanding of machine learning data operations and quality control processes.
• Competitive edge: genuine curiosity about the details of autonomous driving technology.
• Competitive edge: willingness to ask questions.

Conditions

Hybrid role: you report to the Sunnyvale Technical Center in Sunnyvale, CA at least three times per week.

Base salary range is $129,400 to $198,400; the offer falls within this range depending on factors relevant to the position.

Candidates may be required to complete a role-related assessment and/or a pre-employment screening before starting.

The company does not provide immigration sponsorship for this role. Do not apply if you will need it now or in the future, including company sponsorship, the company being listed as employer of record on a government form, or any work authorization requiring a written submission or other company immigration support (for example H-1B, OPT, STEM OPT, CPT, TN or J-1).

This job is not eligible for relocation benefits; any relocation costs fall to the selected candidate.

The company aims to be free of unlawful discrimination and to foster real inclusion and belonging.

Benefits

• Health and wellbeing programs including medical, dental and vision cover, a Health Savings Account, Flexible Spending Accounts, a retirement savings plan, sickness and accident benefits, life insurance, paid vacation and holidays, tuition assistance, an employee assistance program, and company vehicle discounts, among others.