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

Nike

Senior Data Analyst

Beaverton, OR · On-site

$89K - $112K/yr

... SQL Server suite, including SSMS, SSRS, SSAS, and SSIS • BI Tools like Tableau, Power BI ... Python programming with libraries such as Spark and Pandas • Familiarity with REST API ...

Procom Consultants Group

Data Analyst

Hillsboro, OR

... SQL queries JMP Excel MS Visio Data Analyst Start Date ASAP Data Analyst Assignment Length 7 months "Please note that we are not able to work with candidates on H1B Visas or candidates represented by ...

PayRange

Senior Data Analyst, BI & Analytics

Portland, OR · On-site

$91K - $115K/yr

Write SQL queries, views, and analytical tables that turn raw data into usable business datasets ... Experience with BigQuery, Postgres, dbt, Git, Python, Airflow, AWS, or similar tools. * Experience ...

PayRange

Senior Data Analyst, BI & Analytics

Portland, OR

$91K - $115K/yr

Write SQL queries, views, and analytical tables that turn raw data into usable business datasets ... Experience with BigQuery, Postgres, dbt, Git, Python, Airflow, AWS, or similar tools. * Experience ...

PayRange

Senior Data Analyst, BI & Analytics

Portland, OR · On-site

$91K - $115K/yr

Write SQL queries, views, and analytical tables that turn raw data into usable business datasets ... Experience with BigQuery, Postgres, dbt, Git, Python, Airflow, AWS, or similar tools. * Experience ...

Hp

Big Data Laser Analyst

Vancouver, WA · On-site

Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge ... analysis, data validation, and automation. Familiar with VSCode and Databricks Ideally Ability to ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Vancouver, WA

Data Analyst Python Sql information

See Vancouver, WA salary details

$35.6K

$86.5K

$142.4K

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

As of Jun 23, 2026, the average yearly pay for data analyst python sql in Vancouver, WA is $86,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $101,600.00 per year, depending on experience, location, and employer.

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 are Data Analyst Python SQL jobs?

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, and why are they important?

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.

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 Vancouver, WA? For Data Analyst Python Sql jobs in Vancouver, WA, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Vancouver, WA look for? The top searched job categories for Data Analyst Python Sql jobs in Vancouver, WA are:
What cities near Vancouver, WA are hiring for Data Analyst Python Sql jobs? Cities near Vancouver, WA with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Azure/Python/SQL Developer

Azure/Python/SQL Developer

Avani Technology Solutions, Inc.

Portland, OR • On-site

$52.75 - $72.75/hr

Full-time

Posted 22 days ago

Job description

Job Description:
  • Hands-on experience architecting, developing and testing data integration/ migration solutions.
  • Ability to analyze and trouble shoot issues in Azure environment
  • 2+ years' experience with Python with Spark configuration. Azure data bricks is a plus.
  • Created pipelines, datasets, linked services in Azure Data factory.
  • Knowledge on Integration run times.
  • Read and write data blobs in Azure Data Lake and transformation into Azure SQL Data Warehouse,
  • Experience with Power BI and Azure Analysis Services
  • Experience working with REST APIs
  • Familiarity with any DevOps tools. Ex: Ansible, Puppet or Chef
  • Expert in SQL and query optimization for data platforms such as Azure SQL Data Warehouse, HDInsight
  • Experience working in GIT. Pull request creation, Branching and Cherry picking codes.
  • Expert in database concepts, including normalization, indexing, physical and logical modeling, creation of SQL queries and performance tuning.
  • Solid understanding of data flows, data models for batch and near real time flows.
  • Good oral and written communication skills as the role demands coordination with different stakeholders both in-house and external.

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