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Part Time Python Data Analysis Jobs in Bellevue, WA

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

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 ...

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Part Time Python Data Analysis information

See Bellevue, WA salary details

$14

$66

$97

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

As of Aug 7, 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:
Infographic showing various Part Time Python Data Analysis job openings in Bellevue, WA as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $137,618 per year, or $66.2 per hour.

Retail Data Collection Associate - Part time

CROSSMARK1

Silverdale, WA

$16.25 - $18.50/hr

Part-time

Re-posted 16 days ago


Job description

Company Description

CROSSMARK is a leading sales and marketing services company in the consumer goods industry that expertly guides our clients along "The Way to Market" by delivering growth solutions with exceptional service. Our expertise spans the grocery, mass, club, drug, convenience store, and home improvement channels among others, and our solutions bolster our clients' capabilities for developing best practices, insight analysis, and customer targeting that always hit the mark.

We do this by excelling in four key areas - headquarter selling, retail merchandising, store level marketing, and streamlining trade practices. In business for more than 100 years, CROSSMARK employs more than 20,000 associates worldwide in offices in the U.S., Canada, Mexico, Australia and New Zealand. Headquartered in Plano, Texas, CROSSMARK is a privately owned corporation.

Equal Opportunity Employer

Job Description

As a retail data collection associate, you would be a part of our CROSSMARK Field Intelligence Team. The primary function of this team is to travel locally to grocery, mass merchant, and drug stores collecting observational data about product placement and inventory information. To do this, you would spend the majority of your day walking and standing on the sales floor using a handheld device to scan products. The work is typically performed Monday - Friday between the hours of 8am to 5pm with occasional weekend work. Once the initial one-on-one training is complete, this job provides some scheduling flexibility with the expectation that assigned work is completed within a specified deadline.


Note: This job description does not imply that the above functions are the only tasks that may be performed. Associates will be expected, if possible, to follow any other job-related instructions and perform any other job-related tasks as directed by management.

Qualifications

Physical Demands: While working in retail stores the associate will be required to sit, reach (overhead, under and arms length), bend, climb, kneel stand, squat, walk on flat surface, lift up to 30 lbs., change position, and handle and carry a 2 lb. device for a prolonged period of time.  Counting reserve stock in coolers/freezers may be required.  

Specific Skills:  

  • Good verbal and written communication skills.  
  • Good organizational skills.  
  • Attention to detail.  
  • Ability to work independently while following directions.  
  • Must have reliable transportation, valid driver's license, and auto insurance.  Must keep driver's license and insurance information current.
  • MUST HAVE DAILY ACCESS TO DESKTOP/LAPTOP WITH INTERNET ACCESS IN YOUR HOME!
Additional Information

PLEASE ATTACH YOUR RESUME WITH YOUR APPLICATION!!!