Senior Data Analyst

General Motors (GM)

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Sunnyvale, CA
Employment: Full-time
Posted: 10 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $160k

$108k most similar roles pay here $215k

This listing doesn't post a salary. Most similar roles pay $127,862–$192,500.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 129 open roles on FindRole.

Listed pay typically runs $170,600–$261,300 across 52 roles with salary data.

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At a glance

TL;DR · Senior Data Analyst

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The Sr. Data Analyst joins the Scaled Engineering Operations organization to lead analytics efforts and support high-priority technical services like next-generation mapping. Working across Labeling, Analysis, and Protocol teams, you will act as a consultant to develop metrics for initiative prioritization, drive continuous improvement, and measure impact. Your daily responsibilities include launching tools to measure operational efficiency and data quality, conducting experiments to inform product direction, and communicating progress to leadership. You will utilize SQL and Python to manage complex systems and provide insights into technical datasets. The role requires expertise in vendor management, stakeholder communication, and crafting executive-level communications regarding high-impact decisions. This position addresses the complexities of machine learning data operations and quality control processes within the specialized domain of autonomous driving technology and its transformative potential for transportation.

What does a Data Analyst earn?

Median $127950 from 35 postings across 17 companies.

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Skills

SQL Python KPIs Machine Learning Vendor Management Stakeholder Management

What you'll do

Develop and implement metrics to prioritize initiatives and measure operational impact.
Launch new processes and tools to quantify operational efficiency and data product quality.
Scope and implement analyses, experiments, and pilots to inform product direction.
Analyze complex datasets to design and implement technical improvements for engineering partners.
Track and communicate progress to leadership to showcase the impact of team work.
Provide ad-hoc analytics to support various internal stakeholders as needed.

What we're looking for

5+ years of work experience in consulting, finance, business operations, or tech startups.
Proficiency in SQL and/or Python for developing metrics and KPIs for complex systems.
Experience developing sophisticated strategies for navigating a complex and nascent industry.
Proficiency in crafting and presenting executive-level communications on high-impact decisions.
Track record of using analytical thinking to provide insightful analysis and improve program KPIs.
Proficiency in influencing without authority and building consensus across diverse stakeholders.
Experience in vendor management and stakeholder communication with external partners.
Understanding of machine learning data operations and quality control processes (preferred).

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