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Part Time Python Data Analysis Jobs in Bellevue, WA

Pet Benefits Schedule: Part time Shift: Day (United States of America) Address: 501 REDMOND RD NW ... Leadership skills [Required] Process and Outcome data analysis skills [Required] Critical thinking ...

Sr. Recruiting Coordinator

Seattle, WA · On-site

$22.75 - $30.50/hr

Responsible for part-time front desk coverage, including greeting candidates and guests of ... Participate in audits, reporting, and other data analytics activities * Partner, as needed, with ...

Small Shopify Tasks and Ruby on Rails, Python/Django and Mobile App (using BuildFire) applications ... This position is for a Part-Time/Contract Shopify Expert position in which you will help fulfill ...

Strong analytical skills; proficiency in Excel, PowerPoint, Word; experience with data tools (Power ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Project Manager

Kirkland, WA · On-site

$75K - $90K/yr

Data analysis - Must have proficiency with Microsoft Excel, Word and One Note. * Strong analytical ... Part-time positions may be considered. Travel: Occasional travel may be required.

Water Resources Engineer

Seattle, WA · On-site

$102K - $129K/yr

PROTEC17-DES, DLS, DNRP Full- or Part-Time: Full Time Hours/Week: 40 hours/week Summary Are you ... and data analysis in GIS, statistics, and other relevant software. Your duties will make you ...

Retail Data Collection Associate - PT

Lynnwood, WA · On-site

$17 - $19.25/hr

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Permanent Part time (Looking for supplemental income? This is it!) Flexible schedule Paid training

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Part Time Python Data Analysis information

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How much do part time python data analysis jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for part time python data analysis in Bellevue, WA is $66.16, according to ZipRecruiter salary data. Most workers in this role earn between $54.52 and $75.14 per hour, depending on experience, location, and employer.

What is a part-time Python data analyst?

A part-time Python data analyst is a professional who uses Python programming to analyze, interpret, and visualize data, but works fewer hours than a full-time employee. They help organizations make data-driven decisions by cleaning data, running statistical analyses, and creating reports or dashboards, typically on a flexible or reduced schedule. This role is ideal for those seeking work-life balance or looking to supplement their income while utilizing their data analysis skills.

How do part-time Python data analysts typically collaborate with full-time team members to ensure project continuity?

Part-time Python data analysts frequently work alongside full-time data teams by attending regular meetings, using shared project management tools, and maintaining thorough documentation of their work. This collaboration ensures that progress is transparent and that handoffs between analysts are smooth, minimizing disruptions. Communication platforms like Slack or Microsoft Teams are often utilized to keep everyone aligned, and version control systems such as Git help track changes in code and data analyses. Being proactive about updates and asking clarifying questions also helps part-time analysts integrate effectively with the team.

What is the difference between Part Time Python Data Analysis vs Part Time Data Scientist?

AspectPart Time Python Data AnalysisPart Time Data Scientist
Required CredentialsBasic Python, SQL, Excel skillsAdvanced Python, machine learning, statistics
Work EnvironmentData analysis projects, reportingModel development, predictive analytics
Industry UsageBusiness reporting, market researchProduct development, AI applications

Part Time Python Data Analysis typically involves handling data, creating reports, and basic analysis using Python and related tools. In contrast, Part Time Data Scientists work on developing models, applying machine learning, and performing advanced statistical analysis. While both roles require Python skills, Data Scientists usually have more specialized knowledge and work on more complex projects. The choice depends on your skill level and career goals within data roles.

What are the key skills and qualifications needed to thrive as a Part Time Python Data Analyst, and why are they important?

To thrive as a Part Time Python Data Analyst, you need strong analytical skills, proficiency in Python, and a solid understanding of statistics or data science fundamentals, often supported by relevant coursework or a degree. Familiarity with tools like pandas, NumPy, Jupyter notebooks, and basic SQL, as well as experience with data visualization libraries such as matplotlib or seaborn, is typically required. Attention to detail, problem-solving ability, and effective communication help you convey insights and collaborate with team members. These skills are crucial for extracting meaningful information from data and supporting informed decision-making in a flexible, part-time capacity.
What are the most commonly searched types of Python Data Analysis jobs in Bellevue, WA? The most popular types of Python Data Analysis jobs in Bellevue, WA are:
What are popular job titles related to Part Time Python Data Analysis jobs in Bellevue, WA? For Part Time Python Data Analysis jobs in Bellevue, WA, the most frequently searched job titles are:
What job categories do people searching Part Time Python Data Analysis jobs in Bellevue, WA look for? The top searched job categories for Part Time Python Data Analysis jobs in Bellevue, WA are:
Research Coordinator: School & Procurement Analysis (0.5 FTE)

Research Coordinator: School & Procurement Analysis (0.5 FTE)

University of Washington

Seattle, WA • On-site

Part-time

Re-posted 16 days ago


University Of Washington School Of Medicine rating

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Company rating: 7.8 out of 10

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Job description

Job Description
TheDepartment of Environmental and Occupational Health Sciences has an outstanding opportunity for a Research Coordinator: School & Procurement Analysis (0.5 FTE) to join their team.
This is a part-time, 50% FTE position. Additional FTE (up to 100%) may be available based on evolving program needs
Location: Seattle or hybrid, with statewide travel to partner sites, as needed.
Project Overview: This project is a transdisciplinary effort connecting plant breeding, soil health, food product development, and implementation science to develop and commercialize nutritious, climate-friendly whole-grain and legume varieties and foods, with a major translation pathway into school meal programs across Washington. Our team will be leading implementation activities and these will include evidence syntheses, policy and budget analyses of school food procurement, qualitative research with producers/processors and school food personnel, and network mapping and value chain analysis to bridge gaps from grain harvest to healthy products in schools and markets.
Position Summary: The Research Coordinator will lead partnerships, data collection, analytic, and educational components of implementation science work with schools including: a scoping review; policy, menu, and budget analyses of school procurement; in-depth interviews and user journey mapping with school personnel and producers/processors; and planning and leading a 5-week study away educational program.
Key Responsibilities:
Study Development (10%)
  • Collaborate with PI/co-PIs to plan and design school-focused implementation activities aligned with project goals.
  • Develop protocols and timelines for stakeholder engagement and data collection and analysis.

Study Coordination (20%)
  • Serve as primary liaison to school food stakeholders (e.g., OSPI, WSDA Farm to School, and others) to (a) schedule and facilitate meetings and data collection efforts and (b) coordinate and track school efforts to integrate whole grains/legumes.
  • Work with the team to coordinate sourcing of whole grains/legumes with local farmers/processors and assess how these align with school menu cycles and procurement requirements.
  • Draft and submit IRB materials; maintain compliance, renewals, and modifications for any human-subjects activities with school personnel.
  • Manage project calendars, action items, secure file sharing, and stakeholder communications; prepare graphics for stakeholder audiences.

Data Collection (20%)
  • Collect implementation data with schools based on study protocols, including (a) scoping review data, (b) school procurement policy, budget, and menu planning data (c) in-depth interviews and journey mapping.

Analysis & Dissemination (30%)
  • Analyze implementation data, including (a) scoping review data, (b) school procurement policy, budget and menu data and (c) qualitative data from in-depth interviews and journey mapping with school personnel.
  • Contribute to progress reports, deliverables, and toolkits for school implementation; co-author manuscripts and practice briefs.

Study Away Program (15%)
  • Assist with planning and logistics for the 5-week study away program (in ~June every summer for three summers), including scheduling site visits, coordinating with farmers, processors, and school districts, and helping develop educational materials and activities for students, ensuring integration of research insights (e.g., producer/processor/school insights and experiences, value chain mapping, journey maps).
  • Direct or co-direct the study away program, which may include being on-site with students.

Administration & Operations (5%)
  • Track deliverables to funders and partners; support budget monitoring and subaward communications and coordination related to school implementation activities.

Pay Rate Information
The salary information provided below is for a full-time position and will be prorated for part-time.
Minimum Qualifications:
  • Bachelor's degree in Food Systems, Public Health, Nutrition, Implementation Science, Agricultural/Environmental Sciences, or related field.
  • Minimum 4 years of experience with research methods such as evidence syntheses, implementation research, or qualitative research.

Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
Additional Qualifications:
  • Experience with stakeholder-engaged and interdisciplinary research (e.g., coordinating school-based or community food systems programs).
  • Familiarity with human subjects research and IRB procedures; strong project management and communication skills.
  • Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.

Preferred Qualifications:
  • Graduate degree (MPH/MS/MA) or PhD in Food Systems, Public Health, Nutrition, Implementation Science, Agricultural/Environmental Sciences, or related field.
  • Experience working with school food (e.g., knowledge of school food procurement standards and budget constraints, experience with OSPI/WSDA Farm to School or district food service).
  • Experience with stakeholder-engaged and interdisciplinary research.
  • Proficiency with mixed-methods and implementation science research methods such as evidence synthesis (e.g., scoping reviews), policy analysis, budget analysis, and qualitative research (e.g., in-depth interviews, user journey mapping).
  • Experience with scientific writing (including peer-reviewed publications) and writing for public audiences.
  • Proficiency with research software including Zoom, Qualtrics/REDCap, Dedoose, and data visualization software.

Compensation, Benefits and Position Details
Pay Range Minimum:
$78,600.00 annual
Pay Range Maximum:
$94,992.00 annual
Other Compensation:
Benefits:
For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/
Shift:
First Shift (United States of America)
Temporary or Regular?
This is a regular position
FTE (Full-Time Equivalent):
50.00%
Union/Bargaining Unit:
UAW Research
About the UW
Working at the University of Washington provides a unique opportunity to change lives - on our campuses, in our state and around the world.
UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
Our Commitment
The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81.
To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu.
Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law.

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