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

Hp

Print Supplies Big Data Analyst

Vancouver, WA · On-site

$105K - $161K/yr

... Python for data analysis, validation, automation, time-series analysis, reproducible workflows, and tooling to support recurring quality checks and investigations SQL , including complex joins, CTEs ...

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 ...

Qorvo, Inc.

Sales Data Analyst Intern

Hillsboro, OR · On-site

$31 - $42/hr

Familiarity with SQL, Python, or data analysis tools is preferred. * Experience using business intelligence tools such as Power BI or Tableau is preferred. * Experience cleaning data, data ...

Qorvo, Inc.

Sales Data Analyst Intern

Hillsboro, OR · On-site

$31 - $42/hr

Familiarity with SQL, Python, or data analysis tools is preferred. * Experience using business intelligence tools such as Power BI or Tableau is preferred. * Experience cleaning data, data ...

Autodesk

Data Scientist, FP&A Solutions

Portland, OR

The Data Scientist will partner closely with FP&A, Finance, Data Engineering, and business teams to ... Develop Python-based analytical models, forecasting solutions, simulations, and automation for ...

Hoffman Construction

Data Scientist 1

Lake Oswego, OR · On-site

$90K - $110K/yr

The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will ...

Hoffman-Construction

Data Scientist 1

Portland, OR · On-site

$100 - $125/hr

The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will ...

Hoffman Equipment Yard

Data Scientist 1

Portland, OR

$90K - $110K/yr

The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will ...

Hoffman Construction

Data Scientist 1

Lake Oswego, OR · On-site

The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will ...

Hoffman Construction Company

Data Scientist 1

Portland, OR · On-site

$80 - $100/hr

The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will ...

SupportFinity™

Staff Data Systems Analyst

Vancouver, WA · On-site

$100 - $125/hr

You can read code (Python, Java, SQL, or similar) well enough to understand data transformations ... Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Vancouver, WA

Python Data Analyst information

See Vancouver, WA salary details

$35.6K

$86.5K

$142.4K

How much do python data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for python data analyst 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.

What does a Python data analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

What does a Python data analyst do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

What are the key skills and qualifications needed to thrive as a Python data analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

How do Python data analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

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

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.
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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Vancouver, WA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $86,521 per year, or $41.6 per hour.

Sr Data Analyst

BizTek People, Inc. | APA International Placement Consultants

Beaverton, OR • On-site

$90K - $114K/yr

Contractor

Re-posted 21 days ago

Job description


Job Duties:
• Develop and support data solutions in support of Supply Chain Planning reporting and analytics requirements
• Engage with product owner, technology lead, report developers, product analysts, and business partners to understand capability requirements and develop data solutions based on product backlog priorities
Requirements
Skills / Qualifications:
• 5+ years of experience with data engineering with emphasis on data analytics and reporting
• Experience developing with scripting languages such as Shell and Python
• Strong experience developing with PySpark, preferably leveraging AWS EMR managed service
• Expert experience with SQL and Relational database engineering (Oracle, SQL Server, Teradata)- expert-level SQL abilities
• Experience with agile delivery methodologies- Scrum, SAFe, Extreme Programming
• Experience working with source-code management tools such as GitHub and Jenkins
• Ability to partner with business and technology team members, to understand business requirements and translate those into value-add technology solutions
Additional preferences are:
• Experience developing solutions in Snowflake
• Experience with workload automation tools such as Airflow, Autosys.
• Knowledge of building solutions with data visualization and reporting tools (Tableau, Cognos)
• Knowledge of Supply Chain Operations / Manufacturing business processes and objectives
Skill Set
Python, SQL, Data

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