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Part Time Python Data Analysis Jobs in Bellevue, WA

iSpot

Data Science Intern

Bellevue, WA · Hybrid

$35/hr

Potential Responsibilities: • Data Analysis and Modeling: Conduct in-depth data analysis and ... particularly Python, R, and/or SQL; willingness to learn new tools as needed ● Expert at ...

iSpot

Data Science Intern

Bellevue, WA · On-site

$35/hr

Potential Responsibilities: • Data Analysis and Modeling: Conduct in-depth data analysis and ... particularly Python, R, and/or SQL; willingness to learn new tools as needed • Expert at ...

iSpot

Research Data Scientist 1

Bellevue, WA · Remote

$95K - $106K/yr

Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to ... Advanced user in several quantitative software tools, particularly Python, R, and/or SQL ...

iSpot

Research Data Scientist 1

Bellevue, WA · On-site

$95K - $106K/yr

Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to ... Advanced user in several quantitative software tools, particularly Python, R, and/or SQL ...

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All JobsPart Time Python Data Analysis JobsPart Time Python Data Analysis Jobs in Bellevue, WA

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 Jun 26, 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:
Part Time Python Data Analysis jobs near you

Data Science Intern

iSpot

Bellevue, WA • Hybrid

$35/hr

Full-time, Part-time, Internship

Posted 16 days ago

Job description

Immigration / Work Authorization Notice: Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.

iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle's hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.

What You'll Be Part Of

An iSpot Research Data Science Intern is a great opportunity to help iSpot push the boundaries on what is measurable in the TV viewing and advertising space. The Research Data Science team builds innovative solutions for iSpot's audience measures, attribution and lift analytics, creative testing, and artificial intelligence implementations. After developing new methodologies and building prototypes, we work with our product and engineering teams to scale our models to satisfy the needs of brands, publishers, networks, and agencies in a constantly evolving marketing landscape.

Potential Responsibilities:

• Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets.
• Machine Learning Model Development: Develop, train, and deploy state-of-the-art machine learning models to solve a variety of measurement problems.
• Data Pipeline Development: Work with our Engineering teams to design and implement efficient data pipelines to collect, process, and transform data from various sources.
• Research and Innovation: Stay up-to-date with the latest data science techniques, tools, and technologies, and explore novel approaches to solve complex challenges.
Qualifications and Education Requirements:
● Progress toward a degree in mathematics, economics, statistics, computer science, physics, social sciences, or other quantitative discipline.
● Relevant work experience is preferred.
Preferred Skills:
● Technical understanding of machine learning, statistics, data science, and related fields
● Proficient user in several quantitative software tools, particularly Python, R, and/or SQL; willingness to learn new tools as needed
● Expert at wrangling data and conducting thorough data analyses
● Pragmatic, team-oriented; builds rapport and respect
● Strong communication, writing, and critical thinking skills; attention to detail

Target cash compensation range: $35.00USD/hour

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

#LI-Hybrid

If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway!

iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team.

California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.