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Remote Automotive Data Analyst Jobs in Portland, OR

Treasury Analyst - AI Trainer

Gresham, OR ยท Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Showing results 21-40

Remote Automotive Data Analyst information

See Portland, OR salary details

$36.1K

$87.6K

$144.2K

How much do remote automotive data analyst jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote automotive data analyst in Portland, OR is $87,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $102,900.00 per year, depending on experience, location, and employer.

What is a remote automotive data analyst?

A Remote Automotive Data Analyst is a professional who analyzes data related to the automotive industry, such as vehicle performance, sales trends, customer behavior, or supply chain metrics, while working from a location outside of a traditional office. They use statistical tools and software to interpret complex data, generate reports, and provide insights that help automotive companies make informed business decisions. This role often requires strong analytical skills, knowledge of data analysis tools, and an understanding of automotive industry trends. Remote positions offer flexibility, allowing analysts to collaborate with teams and clients virtually.

How does a remote automotive data analyst typically collaborate with engineering and product teams?

As a Remote Automotive Data Analyst, you will frequently collaborate with engineering and product teams through virtual meetings, shared dashboards, and cloud-based data platforms. Your role often involves translating complex data findings into actionable insights that inform product development, quality control, and user experience improvements. Effective communication and the ability to present data in a clear, concise manner are key, as you may be tasked with explaining technical analyses to non-technical stakeholders. Building strong relationships remotely and staying aligned on project goals are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as a remote automotive data analyst, and why are they important?

A Remote Automotive Data Analyst should possess strong analytical abilities, proficiency in data interpretation, and a background in statistics or engineering, often supported by a relevant degree. Familiarity with data analysis tools such as Python, R, SQL, and automotive-specific software, along with experience using telematics or vehicle diagnostic systems, is typically required. Attention to detail, effective communication, and problem-solving skills are essential soft skills for translating complex data into actionable insights. These competencies enable analysts to drive informed decision-making and optimize automotive performance and business outcomes in a remote environment.

What is the difference between Remote Automotive Data Analyst vs Remote Automotive Data Scientist?

AspectRemote Automotive Data AnalystRemote Automotive Data Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentData analysis, reporting, and visualization tasksAdvanced modeling, machine learning, and predictive analytics
Employer & Industry UsageAutomotive manufacturers, suppliers, dealershipsAutomotive R&D, tech companies, autonomous vehicle firms
Common Search & ComparisonYesYes

The main difference between a Remote Automotive Data Analyst and a Remote Automotive Data Scientist lies in their focus and skill level. Data Analysts primarily handle data reporting and visualization, while Data Scientists develop predictive models and advanced algorithms. Both roles are vital in the automotive industry, but Data Scientists typically require more advanced technical skills and education.

What are the most commonly searched types of Automotive Data Analyst jobs in Portland, OR?

The most popular types of Automotive Data Analyst jobs in Portland, OR are:

What are popular job titles related to Remote Automotive Data Analyst jobs in Portland, OR?

For Remote Automotive Data Analyst jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Remote Automotive Data Analyst jobs in Portland, OR look for?

The top searched job categories for Remote Automotive Data Analyst jobs in Portland, OR are:

What cities near Portland, OR are hiring for Remote Automotive Data Analyst jobs?

Cities near Portland, OR with the most Remote Automotive Data Analyst job openings:

Corporate Development Research Analyst

Initio Capital

Portland, OR โ€ข Remote

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

ABOUT INITIO CAPITAL

Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

THE ROLE

As a Corporate Development Research Analyst, you will help identify promising markets, companies, products, operators, and investment or growth opportunities. You will turn ambiguous information into clear research, structured analysis, prioritized target lists, and practical recommendations.

This is a remote, flexible role for candidates who are analytical, commercially curious, and comfortable moving quickly across business, finance, technology, and strategy topics.

WHAT YOU MAY WORK ON
  • Research companies, markets, business models, and investment themes.
  • Build target lists, market maps, competitive scans, and opportunity pipelines.
  • Analyze data, documents, websites, interviews, and public information to form concise recommendations.
  • Support strategy, sourcing, diligence, product, growth, finance, and operations projects.
WHO THIS IS FOR

This is a strong fit for candidates interested in consulting, finance, investment research, product strategy, software, AI/data, business operations, corporate development, private markets, or entrepreneurship.

COMPENSATION

Compensation varies by project and experience. Many roles are flexible, remote, and project-based.