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Contract Python Data Analysis Jobs in Seattle, WA

... 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 ...

Data Analyst

Everett, WA · On-site

$90K - $110K/yr

Perform exploratory data analysis (EDA) to identify trends, risks, and opportunities * Translate ... python, R, etc.) with broad domain applicability * Experience with AI-driven analytics, automated ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

ANSI-SQL, Azure BLOB, Azure Data Factory, AZURE DATA LAKE, Azure Functions, Azure SQL, Azure Synapse Analytics, Databricks, Java, Python, Scala, Snowflake

Data Engineer

Seattle, WA

$130K - $156K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

This is an exciting opportunity for someone with versatile data analysis skills and who is ... Troubleshooting simple python or R scripts. The ability to: Deliver accurate, high-quality work ...

Temporary Data Analyst

Seattle, WA · On-site +1

$47.39 - $55.19/hr

This is an exciting opportunity for someone with versatile data analysis skills and who is ... Troubleshooting simple python or R scripts. The ability to: * Deliver accurate, high-quality work ...

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Python 4-5 years * Data Modeling 3 years * Marketing 2 years Responsibilities * Build subject ... Identify and analyse multi-structured data or metadata from a variety of sources to select and ...

Senior Data Engineer

Seattle, WA · Hybrid

$170K - $210K/yr

... and internal analysis. You'll work across the full data lifecycle - from ingestion and ... Python data pipelines that are reliable, testable, and observable - Orchestrate workflows using ...

Insurance Data Analyst

Seattle, WA · On-site +1

$88K - $123K/yr

Insurance Data Analyst Location: United States Workplace Type: Remote About the Job The future is ... Proficiency in Python or R for analysis or automation. * Familiarity using AI tools to accelerate ...

Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect ...

Insurance Data Analyst Location: United States Workplace Type: Remote About the Job The future is ... Proficiency in Python or R for analysis or automation. * Familiarity using AI tools to accelerate ...

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Contract Python Data Analysis information

See Seattle, WA salary details

$15

$66

$98

How much do contract python data analysis jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for contract python data analysis in Seattle, WA is $66.71, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.77 per hour, depending on experience, location, and employer.

What are some common challenges faced by contract Python Data Analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

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

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are Contract Python Data Analysis jobs?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Seattle, WA? The most popular types of Python Data Analysis jobs in Seattle, WA are:
What are popular job titles related to Contract Python Data Analysis jobs in Seattle, WA? For Contract Python Data Analysis jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Contract Python Data Analysis jobs in Seattle, WA look for? The top searched job categories for Contract Python Data Analysis jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Contract Python Data Analysis jobs? Cities near Seattle, WA with the most Contract Python Data Analysis job openings:
Infographic showing various Contract Python Data Analysis job openings in Seattle, WA as of June 2026, with employment types broken down into 57% Full Time, 21% Temporary, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $138,762 per year, or $66.7 per hour.

Data Science Intern

iSpot

Bellevue, WA • Hybrid

$35/hr

Full-time, Part-time, Internship

Posted 10 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.