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Part Time Remote Data Analyst Jobs in Portland, OR

micro1 AI

Domain Expert - (STEM PhD)

Portland, OR · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Portland, OR · Remote

$80 - $105/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Gresham, OR · Remote

$80 - $105/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Engineering AI Evaluator (PhD)

Portland, OR · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

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Showing results 1-20

All JobsPart Time Remote Data Analyst JobsPart Time Remote Data Analyst Jobs in Portland, OR

Part Time Remote Data Analyst information

See Portland, OR salary details

$36.1K

$87.6K

$144.2K

How much do part time remote data analyst jobs pay per year?

As of Jul 6, 2026, the average yearly pay for part time remote 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.

How to make $2000 a week working from home?

A part-time remote data analyst can increase earnings by taking on multiple freelance projects, improving skills in data tools like Excel or SQL, and building a strong client network. Earning $2000 weekly typically requires working several hours per week at competitive rates or securing high-paying contracts. Consistent performance and specialized expertise can help achieve higher income levels from home.

What are the most common challenges faced by part-time remote data analysts, and how can I overcome them?

Part-time remote data analysts often encounter challenges related to time management, communication across different teams, and maintaining data security. Effectively prioritizing tasks and setting structured work hours can help ensure deadlines are met, even with a flexible schedule. It’s important to proactively communicate with managers and team members to stay aligned on project requirements and deliverables, making use of collaboration tools like Slack or Microsoft Teams. Staying organized and keeping up with data privacy protocols will also help you maintain the quality and integrity of your analysis while working remotely. Adopting these practices can make your remote work experience more productive and rewarding.

How to make $1000 a week remote?

A part-time remote data analyst can earn $1000 a week by combining multiple freelance or contract projects, leveraging skills in data analysis tools like Excel, SQL, or Python. Building a strong portfolio, gaining certifications, and applying to high-paying freelance platforms can help increase earnings to this level while maintaining flexible schedules.

What is a Part Time Remote Data Analyst job?

A Part Time Remote Data Analyst collects, processes, and analyzes data to help businesses make informed decisions while working remotely and on a part-time schedule. Responsibilities often include cleaning datasets, creating reports, and identifying trends using statistical tools. This role is ideal for individuals who excel at data interpretation and want flexibility in their work hours. Common industries hiring for this position include finance, healthcare, e-commerce, and marketing. Strong skills in Excel, SQL, Python, or R are typically required.

What are the key skills and qualifications needed to thrive in the Part Time Remote Data Analyst position, and why are they important?

To thrive as a Part Time Remote Data Analyst, a strong foundation in data analysis, statistical methods, and attention to detail is essential, typically supported by a relevant degree or coursework in data science, statistics, or a related field. Proficiency with analytical tools such as Excel, SQL, Python, or business intelligence platforms, as well as familiarity with data visualization software and data privacy best practices, is generally expected. Strong communication, time management, and problem-solving abilities help remote analysts effectively interpret data, meet deadlines, and present actionable insights to stakeholders. These skills ensure accurate, insightful analysis and foster productive collaboration in virtual team environments.

Is 40 too late for data science?

For a part-time remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Excel or SQL, regardless of age. Continuous learning and practical experience are key factors in entering the field at any age.

Is it possible to get a remote job as a data analyst?

Yes, many companies offer remote data analyst positions that can be performed from anywhere with a reliable internet connection. These roles often require skills in data visualization, SQL, and Excel, and may involve using tools like Tableau or Power BI. Remote data analyst jobs are widely available across various industries and typically offer flexible schedules.
What are the most commonly searched types of Remote Data Analyst jobs in Portland, OR? The most popular types of Remote Data Analyst jobs in Portland, OR are:
What are popular job titles related to Part Time Remote Data Analyst jobs in Portland, OR? For Part Time Remote Data Analyst jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Data Analyst jobs in Portland, OR look for? The top searched job categories for Part Time Remote Data Analyst jobs in Portland, OR are:
What cities near Portland, OR are hiring for Part Time Remote Data Analyst jobs? Cities near Portland, OR with the most Part Time Remote Data Analyst job openings:
Part Time Remote Data Analyst jobs near you
Infographic showing various Part Time Remote Data Analyst job openings in Portland, OR as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $87,640 per year, or $42.1 per hour.
Domain Expert - (STEM PhD)

Domain Expert - (STEM PhD)

micro1 AI

Portland, OR • Remote

$80 - $90/hr

Part-time

Posted 13 days ago

Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions

Apply