ZipRecruiter

Log In

1

Python Analytics Jobs in Seattle, WA (NOW HIRING)

Zen3 Infosolutions

Sr. Python Developer

Bellevue, WA · On-site

$136K - $183K/yr

I'm looking for a Sr. Python Developer with 7 to 10 years of experience with expertise in design and development of large-scale data analytic applications using either Python or R languages.

Zen3 Infosolutions

Sr. Python Developer

Bellevue, WA · On-site

$136K - $183K/yr

I'm looking for a Sr. Python Developer with 7 to 10 years of experience with expertise in design and development of large-scale data analytic applications using either Python or R languages.

ConfigUSA

Python developer (data engineering)

Seattle, WA · On-site

$57.25 - $78.75/hr

Python, Django Frontend: Angular, React Ability to design and implement RESTful APIs and integrate ... Collaboration Work closely with data scientists, analysts, and stakeholders to deliver data ...

Intelliswift Software

Test Lead/ Python Developer

Redmond, WA · On-site

$156K - $192K/yr

... analyzers, etc. b. The QCoDeS drivers will provide the abstraction layer allowing other scripts to ... Python Programming Language (P3 - Advanced) | 3 - System Defect Management (P3 - Advanced) | 4 - ...

Echodyne Corp

Sr. Software Developer in Test

Kirkland, WA · On-site

$56.75 - $73.25/hr

Design and implement automated tests for UI (Selenium) and REST APIs using Python * Analyze product requirements and specifications to create detailed test scenarios and automation suites * Integrate ...

Pwc

GenAI Python Systems Engineer-Manager

Seattle, WA · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

WSP

Environmental Data Analytics Specialist

Redmond, WA

$75K - $87K/yr

Basic familiarity with programming languages (for example Python, R, or Visual Basic) * Familiarity ... Excellent analytical / problem-solving skills * Competent interpersonal and communication skills ...

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$75K - $87K/yr

Basic familiarity with programming languages (for example Python, R, or Visual Basic) * Familiarity ... Excellent analytical / problem-solving skills * Competent interpersonal and communication skills ...

Chewy

Healthcare Analytics Manager

Bellevue, WA · On-site

$100K - $176K/yr

Python experience is a bonus. * Experience with e-commerce, omni-channel, or retail data (catalog ... Experience applying advanced analytics concepts (experiment design, A/B testing, statistics, etc ...

next page

Showing results 1-20

All JobsPython Analytics JobsPython Analytics Jobs in Seattle, WA

Python Analytics information

See Seattle, WA salary details

$15

$66

$98

How much do python analytics jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for python analytics 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 the key skills and qualifications needed to thrive as a Python Analytics professional?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

Which Python Analytics job is in demand?

Python Analytics roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst are currently in high demand across various industries. These positions typically require proficiency in Python, data visualization, and statistical analysis, with skills in tools like Pandas, NumPy, and machine learning frameworks increasing employability.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its extensive libraries such as Pandas, NumPy, and Matplotlib, which facilitate data manipulation, analysis, and visualization. Its simplicity and versatility make it a preferred language for data analysts and data scientists, often complemented by skills in SQL and data modeling. Proficiency in Python can enhance job prospects in data analytics positions.
What are popular job titles related to Python Analytics jobs in Seattle, WA? For Python Analytics jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Seattle, WA look for? The top searched job categories for Python Analytics jobs in Seattle, WA are:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in Seattle, WA as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $138,762 per year, or $66.7 per hour.

Sr. Python Developer

Zen3 Infosolutions

Bellevue, WA • On-site

$136K - $183K/yr

Full-time

Re-posted 12 days ago

Job description

Company Description

Blueprint is a technology solutions firm that helps companies accelerate their success through digital transformation

Job Description

Fulltime position with Blueprint in Bellevue:

I'm looking for a Sr. Python Developer with 7 to 10 years of experience with expertise in design and development of large-scale data analytic applications using either Python or R languages. Expertise in using C# and .NET is a plus to develop middle-tier applications (APIs) with experience in UX partners and SQL.

Qualifications

         7 to 10 years of expertise in design and development of large-scale data analytic applications using either Python

         or R languages

         Expertise in using C# and .NET is a plus to develop middle-tier applications (APIs) with experience in UX partners

         integration

         Excellent design, coding, testing, problem solving, and debugging skills.

         Previous Microsoft experience is a plus.

         Strong Python experience will be good.

         SQL experience

Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply