설명
Role: 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.
What You’ll Do:
- 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.
Your Skills & Abilities:
- 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.
What Can Give You a Competitive Edge:
- 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.
Location
- This role is categorized as hybrid. This means the successful candidate is expected to report to the Sunnyvale Technical Center in Sunnyvale, CA three times per week, at minimum.
Compensation
- The salary range for this role is $129,400 and $198,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Benefits
- GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
다양성 정보
General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다. 자세한 정보는 GM 채용 과정 안내를 참고하십시오.
공평한 취업 기회 선언 (미국)
General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다. 자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다.
숙소 (미국 및 캐나다)
General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.