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Part Time Data Analyst Jobs in Portland, OR (NOW HIRING)

Kyo

Board Certified Behavior Analyst (BCBA)

Portland, OR · On-site

$80K - $95K/yr

This is a hybrid remote position Part-Time & Full-Time Opportunities Available Pay Range: $80,000 ... data systems. * Support the development of Behavior Therapists and BCBA Trainees. WHY CHOOSE US?

Kyo

Board Certified Behavior Analyst (BCBA)

Portland, OR · On-site

$80K - $95K/yr

This is a hybrid remote position Part-Time & Full-Time Opportunities Available Pay Range: $80,000 ... data systems. * Support the development of Behavior Therapists and BCBA Trainees. WHY CHOOSE US?

Kyo

Board Certified Behavior Analyst (BCBA)

Portland, OR · On-site

$80K - $95K/yr

This is a hybrid remote position Part-Time & Full-Time Opportunities Available Pay Range: $80,000 ... data systems. * Support the development of Behavior Therapists and BCBA Trainees. WHY CHOOSE US?

CFS

Accounts Payable - Part-Time

Portland, OR · On-site

$24 - $30/hr

Support accounting operations through data entry, reporting, and account analysis * Partner with ... Benefits-eligible part-time schedule * Retirement plan participation * Additional employee discount ...

Trilon

Accounting Assistant (Part-Time)

Portland, OR

$24/hr

The ideal candidate is dependable, analytical, and comfortable working with financial data while maintaining accuracy and confidentiality. Schedule: Part-Time (approximately 20-24 hours per week ...

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

Part Time Data Analyst information

See Portland, OR salary details

$36.1K

$87.6K

$144.2K

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

As of Aug 24, 2026, the average yearly pay for part time 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 part time data analyst?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

What does a part time data analyst do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

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

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part time data analyst typically collaborate with full time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible ways to analyze data for decision-making. Skills in Excel, SQL, and data visualization tools like Tableau are valuable, and remote or flexible schedules are increasingly available in this field.
More about Part Time Data Analyst jobs

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

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

What are popular job titles related to Part Time Data Analyst jobs in Portland, OR?

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

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

The top searched job categories for Part Time Data Analyst jobs in Portland, OR are:

What cities near Portland, OR are hiring for Part Time Data Analyst jobs?

Cities near Portland, OR with the most Part Time Data Analyst job openings:

Part Time Data Analyst jobs near you
Infographic showing various Part Time Data Analyst job openings in Portland, OR as of August 2026, with employment types broken down into 100% Part Time. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $87,640 per year, or $42.1 per hour.

Swedish Part-Time Linguistic Tech Tester (Onsite - Portland, OR)

Portland, OR

Welo Data
Data Services • 1 - 5K employees
Learn more about Welo Dataexternal

$22.50/hr

Part-time

Re-posted 12 days ago

Job description

Job Reference:

Welocalize is hiring a Part-Time Linguistic QA Tester with native speaker fluency in Swedish.
This position is onsite in Portland, OR. You will be an important part of the QA Testing process for emerging technology. Depending on the project, you could be testing never-before-seen apps/technology, e-courses, marketing materials, or any other interesting task that comes your way. Attention to detail is a must! If you are technologically savvy and speak Swedish at native-level fluency, then this is the opportunity for you!

Job information:

Job Title: Swedish Part-Time Linguistic Tech Tester (Onsite - Portland, OR)
Location: Portland, OR (No remote work possible)
Hourly Rate: $22,5-$25 (Negotiable based on experience)
Hours: Part-time (Wednesday-Friday from 9 am to 5 pm - time range). Hours vary based on project needs and demand. Bear in mind that flexibility with a changing schedule is very important.

Must have valid work authorization in US (Welocalize does not sponsor VISAs)


Requirements
  • Native-level fluency in Swedish (Linguistic competency in target language equal to the following: ILR Level 5 or CEF C2)
  • Excellent written/verbal communication in English (for bug reporting purposes)
  • Up-to-date awareness of current and common technical language usage in the target language
  • Strong practical knowledge of computers and mobile devices
  • Ability to follow written testing instructions in English
  • Localization QA experience is preferred
  • Knowledge of common technological terms in English and/or target language
  • Valid authorization to work in the US
  • Ability to work onsite in our Portland office

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.