Sr. Data Analyst

GM•Sunnyvale, CA

1d•Hybrid

About The Position

We’re seeking an experienced data analyst to lead analytics efforts across the Scaled Engineering Operations (SEO) organization and support management of high priority technical services (e.g., GM’s next generation map). This role will work closely with colleagues in SEO to develop and implement metrics used to prioritize initiatives, drive continuous improvement, and measure impact. You will act as a consultant across our Labeling, Analysis, and Protocol teams spearheading work that will unlock the most critical insights and enable work across the team. This role will also partner closely with Engineering partners to understand and support complex services that SEO teams use to deliver results.

Requirements

5+ years of work experience, including in consulting, finance, or business operations, or tech startups
Proficient in SQL and/or Python with experience developing and implementing metrics and KPIs for complex systems
Experience developing sophisticated, innovative strategies for navigating a complex and nascent industry
Proficiency in crafting and presenting executive-level communications on high-impact, contentious decisions
Track-record of using analytical thinking to pose data-driven questions, provide insightful analysis, and define and improving KPIs for continuous program improvement
Proficiency in influencing without authority and building consensus across diverse stakeholders for new ideas
Experience in vendor management and stakeholder management and communication with external partners.

Nice To Haves

Experience and/or passion for autonomy driving technology and its transformative potential
Understanding of machine learning data operations and quality control processes
Naturally curious and excited to learn about the details of autonomous driving technology
Comfortable asking questions.

Responsibilities

Identify and help launch new processes and tools that quantitatively measure our operational efficiency and the quality of our data products.
Lead new projects and processes that can improve efficiency and/or quality.
Scope and implement analyses, experiments, and pilots that inform product direction and answer strategic, cross-cutting questions
Understand technical details and critical datasets; work with stakeholders to design and implement improvements / solutions
Track, measure, and communicate progress to leadership and stakeholders that showcases the impact of our work
Support ad-hoc analytics requests as needed.