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Data Analyst Python Sql Jobs in Seattle, WA (NOW HIRING)

Apolis

SQL / Python Data Analyst

Redmond, WA · On-site

SQL / Python Data Analyst Location: Redmond WA (Hybrid) Duration: 6+ months contract (possible extension) W2, & without sponsorship now and in future. Primary Responsibilities * Develop, maintain ...

Collabera Digital

Data Analyst

Redmond, WA · On-site

$140K - $150K/yr

Develop analytical solutions and automation using SQL and Python. * Manage and support Azure SQL environments, including database administration, monitoring, and performance tuning. * Support data ...

Collabera Digital

Data Analyst

Redmond, WA · On-site

$156K - $163K/yr

SQL / SQL Database * Python * Azure Data Factory (ADF) Pipelines * SQL Server Analysis Services (SSAS) Candidate Profile: * Strong SQL is particularly important. * Data Engineers with strong SQL ...

RMSI

SQL Analyst

Seattle, WA · On-site

Qualifications: -Ability to ingest and transform common data formats for tabular and geospatial ... python (pandas), R, or other language. -Experience working with datasets in JSON file format ...

USM

SQL Data Analyst - ONLY LOCALS

Seattle, WA · On-site

SQL Data Analyst - ONLY LOCALS Duration - 6 months + Location - Seattle, WA - Local candidates only - in-person interview required Bachelor's degree in Computer Science, Engineering, Business or ...

Aquent

Data Analyst 4

Redmond, WA · On-site

$71 - $76/hr

Develop analytical solutions and automation using SQL and Python. * Manage and support SQL environments, including database administration, monitoring, and performance tuning. * Support data ...

Coupang Internal

Senior Data Analyst

Seattle, WA

$97K - $123K/yr

You will technically guide team members in analytics best practices using SQL, Python, modern data warehouses, and visualization tools. You will be accountable for raising the bar on data quality ...

Coupang

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

You will technically guide team members in analytics best practices using SQL, Python, modern data warehouses, and visualization tools. You will be accountable for raising the bar on data quality ...

Coupang

Senior Data Analyst

Seattle, WA

$114K - $196K/yr

You will technically guide team members in analytics best practices using SQL, Python, modern data warehouses, and visualization tools. You will be accountable for raising the bar on data quality ...

Annik Inc.

Data Analyst

Bellevue, WA

SQL Server 2014/16, Good SQL & ETL skills * Strong on SSAS, SSIS & COSMOS * Good knowledge of PowerBI * Strong data analytical skills * Ability to make business conclusions from data, connect ...

TikTok

Data Analyst (Multiple Positions)

Seattle, WA · On-site

$163K - $228K/yr

Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, or R for metrics creation, root cause analysis, and model preprocessing; Using SQL and ...

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How much do data analyst python sql jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data analyst python sql in Seattle, WA is $94,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $110,400.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Seattle, WA?

For Data Analyst Python Sql jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in Seattle, WA look for?

The top searched job categories for Data Analyst Python Sql jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Data Analyst Python Sql jobs?

Cities near Seattle, WA with the most Data Analyst Python Sql job openings:

Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $94,047 per year, or $45.2 per hour.

SQL / Python Data Analyst

Apolis

Redmond, WA • On-site

Other

Posted 4 days ago

Job description

Position: SQL / Python Data Analyst
Location: Redmond WA (Hybrid)
Duration: 6+ months contract (possible extension)
W2, & without sponsorship now and in future.
Primary Responsibilities
  • Develop, maintain, and enhance staffing and workforce planning models.
  • Build and optimize data pipelines using Azure Data Factory (ADF) and related Azure services.
  • Develop analytical solutions and automation using SQL and Python.
  • Manage and support Azure SQL environments, including database administration, monitoring, and performance tuning.
  • Support data integrations, ETL processes, and reporting solutions.
  • Work with tabular data models, including SSAS cubes.
  • Ensure data quality, reliability, and scalability across planning and reporting platforms.
  • Partner with business stakeholders to translate workforce planning requirements into analytical solutions.
Required Skills
  • Advanced SQL development and database design expertise.
  • Strong Python programming skills for data analysis, automation, and data engineering tasks.
  • Experience with Azure SQL Database administration, performance tuning, and troubleshooting.
  • Azure Data Factory (ADF) pipeline development and maintenance experience.
  • Experience building and maintaining analytical and forecasting models.
  • Familiarity with SQL Server Analysis Services (SSAS) cubes and dimensional modeling.
  • Understanding of Azure data platform services and cloud-based data architectures.
  • Strong analytical, troubleshooting, and communication skills.

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