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Part Time Data Analyst Jobs in Bothell, WA (NOW HIRING)

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... analysis, valuation, and investment decision-making. * Assess and annotate financial data, reports ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... analysis, valuation, and investment decision-making. * Assess and annotate financial data, reports ...

Part-Time Bookkeeper

Seattle, WA · On-site +1

$33 - $35/hr

LHH is partnering with a nonprofit organization to identify a part-time Bookkeeper for their team ... Advanced Microsoft Excel skills, including formulas, spreadsheets, and data analysis. * Excellent ...

Part-Time & Full-Time Opportunities Available Pay Range: $90,000 - $105,000 per year $10,000 Sign ... data systems. * Support the development of Behavior Therapists and BCBA Trainees. WHY CHOOSE US?

Part-Time Bookkeeper

Seattle, WA · On-site +1

$33 - $35/hr

LHH is partnering with a nonprofit organization to identify a part-time Bookkeeper for their team ... Advanced Microsoft Excel skills, including formulas, spreadsheets, and data analysis. * Excellent ...

Part-Time & Full-Time Opportunities Available Pay Range: $90,000 - $105,000 per year $10,000 Sign ... data systems. * Support the development of Behavior Therapists and BCBA Trainees. WHY CHOOSE US?

Part-Time & Full-Time Opportunities Available Pay Range: $90,000 - $105,000 per year $10,000 Sign ... data systems. * Support the development of Behavior Therapists and BCBA Trainees. WHY CHOOSE US?

This is a part-time, temporary position with variable hours of 10-15 per week, for approximately 32 ... Analyze data from research and translate it into other mediums for worthwhile sharing (e.g ...

This is a part-time, temporary position with variable hours of 10-15 per week, for approximately 32 ... Analyze data from research and translate it into other mediums for worthwhile sharing (e.g ...

This is a part-time, temporary position with variable hours of 10-15 per week, for approximately 32 ... Analyze data from research and translate it into other mediums for worthwhile sharing (e.g ...

Showing results 41-60

Part Time Data Analyst information

See Bothell, WA salary details

$38K

$92.4K

$152K

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

As of Sep 10, 2026, the average yearly pay for part time data analyst in Bothell, WA is $92,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $108,400.00 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.

What are the most commonly searched types of Data Analyst jobs in Bothell, WA?

The most popular types of Data Analyst jobs in Bothell, WA are:

What are popular job titles related to Part Time Data Analyst jobs in Bothell, WA?

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

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

The top searched job categories for Part Time Data Analyst jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Part Time Data Analyst jobs?

Cities near Bothell, WA with the most Part Time Data Analyst job openings:

Infographic showing various Part Time Data Analyst job openings in Bothell, WA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $92,382 per year, or $44.4 per hour.

AI Finance Expert - Remote

Seattle, WA • Remote

$100 - $200/hr

Part-time

Re-posted 3 hours ago


Job description

Job Title: AI Finance Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Finance Domain Experts to contribute their financial expertise to an innovative project at the intersection of finance and artificial intelligence. In this role, you will help improve next-generation AI systems by reviewing, evaluating, and refining AI-generated financial content. No prior AI experience is required—your financial expertise, analytical skills, and professional judgment are what matter most.

Key Responsibilities
  • Analyze, review, and edit AI-generated financial content for accuracy, clarity, and relevance.

  • Develop, refine, and evaluate prompts related to financial analysis, valuation, and investment decision-making.

  • Assess and annotate financial data, reports, and AI-generated outputs using structured evaluation criteria.

  • Author and review investment memos, due diligence reports, research summaries, and technical documentation.

  • Evaluate AI outputs for logical consistency, factual accuracy, and adherence to professional financial standards.

  • Conduct independent research and fact-checking to validate financial information.

  • Provide detailed feedback to improve AI model performance and financial reasoning.

Required Skills
  • Critical Thinking

  • Analytical Reasoning

  • Quality Assurance

  • Prompt Engineering

  • AI Output Evaluation

  • Financial Analysis

  • Technical & Report Writing

  • Business Communication

  • Content Review & Editing

  • Fact Checking

  • Data Interpretation

  • Data Annotation

  • Problem-Solving

  • Independent Research

  • Attention to Detail

Preferred Qualifications
  • Minimum 3 years of experience in private equity, venture capital, investment banking, equity research, corporate development, investment management, or strategic finance.

  • Experience preparing investment memos, valuation analyses, financial models, due diligence reports, or market research.

  • Strong analytical, critical thinking, and problem-solving skills.

  • Excellent written communication and professional editing abilities.

  • Experience with prompt authoring, AI output evaluation, data annotation, or content review is a plus.

  • Master's, MBA, JD, PhD, or another advanced degree is preferred.

  • Commitment to producing high-quality, accurate, and well-documented work.