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Python Analytics Jobs in Seattle, WA (NOW HIRING)

Sonsoft Inc

Data Science Analytics

Seattle, WA · On-site

Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting ... Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding ...

Sonsoft Inc

Data Science/Analytics

Seattle, WA · On-site

Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting ... Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding ...

Sonsoft Inc

Data Science/Analytics

Seattle, WA · On-site

Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting ... Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding ...

SEI

Data and Analytics Consultant

Seattle, WA

Experience and knowledge of programming and scripting languages, such as but not limited to Python ... Advanced Analytics and Data Visualizations * Extensive experience or knowledge of data ...

Truveta

Lead Research Enablement Analyst

Seattle, WA · On-site +1

... analytics, solutions consulting, research support, or a related customer-facing role. * Strong SQL skills and proficiency in Python and/or R. * Experience building dashboards, reporting frameworks ...

Truveta

Lead Research Enablement Analyst

Seattle, WA · On-site

... analytics, solutions consulting, research support, or a related customer-facing role. * Strong SQL skills and proficiency in Python and/or R. * Experience building dashboards, reporting frameworks ...

Sonsoft Inc

Cloud Analytics with Hadoop

Redmond, WA

Development experience in Java, Python, Scala. * Experience in cloud technologies preferred - AWS ... Analytical and problem solving skills Qualifications Basic Qualification: * Bachelor's degree or ...

Sonsoft Inc

Cloud Analytics with Hadoop

Redmond, WA · On-site

Development experience in Java, Python, Scala. * Experience in cloud technologies preferred - AWS ... Analytical and problem solving skills Qualifications * Bachelor's degree or foreign equivalent ...

Sonsoft Inc

Cloud Analytics with Hadoop

Redmond, WA · On-site

Development experience in Java, Python, Scala. * Experience in cloud technologies preferred - AWS ... Analytical and problem solving skills Qualifications * Bachelor's degree or foreign equivalent ...

Synchrony

VP, Verizon Analytics Leader

Seattle, WA · On-site +1

Python is desirable. * 5+ years leading large-scale analytics projects * 3+ years of client facing experience, including influencing business decisions with stakeholders and business leaders ...

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All JobsPython Analytics JobsPython Analytics Jobs in Seattle, WA

Python Analytics information

See Seattle, WA salary details

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$66

$98

How much do python analytics jobs pay per hour?

As of Jul 16, 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, and why are they important?

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.

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.

Is Python a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

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.

What is the salary for Python data analytics?

The salary for Python data analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, machine learning, and tools like Pandas or NumPy tend to earn higher salaries.

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
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
Senior Analytics Engineer - Healthcare & Benefits (contract)

Senior Analytics Engineer - Healthcare & Benefits (contract)

Abett

Seattle, WA

$80 - $100/hr

Other

Posted 22 days ago

Job description

Description

Please note this is a contract position


Our Analytics group provides the Benefits Data Platform for a large client, including data models, custom analyses, and dashboards the drive their benefits strategy. We are seeking a strong analytics engineer to join this team to expect our capacity and output. This is a heads-on, blended role: part analytics engineering (data models and pipelines) and part analysis (dashboards, ad hoc analysis, and other client-facing deliverables). 


You'll join an existing high-performance delivery team to work deeply with healthcare and benefits data, including claims, eligibility, clinical, HR, and engagement, in service of strategic questions for this employer.


What you'll do:

  • Design, build and improve Power BI dashboards that answer recurring and ad hoc strategic questions
  • Develop and extend the data models that power these dashboards and analyses, utilizing dbt within a Microsoft Fabric environment
  • Build and maintain pipelines that populate these data models
  • Validate data quality and accuracy across claims, eligibility, clinical, HR, and engagement data, investigating and resolving discrepancies
  • Support custom and ad hoc analyses on strategic benefits questions

You'll be working with existing data sets as well as onboarding new benefits data domains and providers. You'll work in close partnership with the rest of the client's Analytics team.

Requirements

Qualifications and Skills

  • 6+ years experience in analytics engineering, data analysis, business intelligence or similar roles
  • 6+ years experience with SQL and Python
  • 3+ years experience working with benefits and healthcare data, including medical claims, eligibility, and pharmacy data sets
  • Demonstrated experience conducting analyses and/or building dashboards in benefits-related contexts
  • Demonstrated experience engaging directly with clients in a professional, structured way, including gathering requirements, setting expectations, and communicating technical findings clearly
  • Ability to work independently in ambiguous, evolving environments
  • Proven ability to troubleshoot and resolve complex data quality issues

Preferred Qualification

  • Experience working with Power BI and Microsoft Fabric
  • Familiarity with Tuva Project
  • Familiarity with common risk scoring and benchmarking models

Compensation

  • This is a contract role, not an employee position
  • Compensation range: $80 / hr - $100 / hr
  • Expected schedule: 40 / hr / week, through at least end of December 2026, with opportunity for extension past then


About Abett

Abett envisions a world where everyone has access to high quality, affordable, and timely healthcare. We are building the infrastructure that powers employee benefits optimization. Our platform connects employers, benefits vendors, and healthcare providers through standardized, high-quality data integrations. We believe benefits data should be accurate, timely, and reusable-helping clients unlock improved plan efficiency and better outcomes for their members through targeted analysis and automated workflows.


Abett is committed to equity and inclusion as an Equal Opportunity Employer. Abett does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided based on qualifications, merit, and business need.

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