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

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... analysis across the Finance Department. You will also partner with non-data users to deliver ... SQL or relational databases, Python, data pipeline management such as SSIS, Azure Data Factory, or ...

Python Developer

Vancouver, WA · On-site

$52.50 - $72.50/hr

Analyze and organize raw data Build data systems and pipelines Conduct complex data analysis and ... core Python Good grasp of web frameworks Object relational mappers Road to data science Machine ...

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... analysis across the Finance Department. You will also partner with non-data users to deliver ... SQL or relational databases, Python, data pipeline management such as SSIS, Azure Data Factory, or ...

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... analysis across the Finance Department. You will also partner with non-data users to deliver ... SQL or relational databases, Python, data pipeline management such as SSIS, Azure Data Factory, or ...

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... analysis across the Finance Department. You will also partner with non-data users to deliver ... SQL or relational databases, Python, data pipeline management such as SSIS, Azure Data Factory, or ...

As you determine data collection methodology, design and maintenance of data collection systems ... Preferred experience in other languages, including Python and/or R. Experience working in health ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... series analytics, forecasting) * Hands on experience with Python, Spark SQL, XGBoost, and ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... series analytics, forecasting) * Hands on experience with Python, Spark SQL, XGBoost, and ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... series analytics, forecasting) * Hands on experience with Python, Spark SQL, XGBoost, and ...

Lead Python Developer

Portland, OR · On-site

$148K - $182K/yr

Lead Python Developer Location: Portland, Oregon Type: Contract Position Requirement: Bachelor ... Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services etc. We make reasonable ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... series analytics, forecasting) * Hands on experience with Python, Spark SQL, XGBoost, and ...

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Showing results 1-20

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 Jul 7, 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.

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.

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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.

Is Python a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
What job categories do people searching Python Data Analyst jobs in Vancouver, WA look for? The top searched job categories for Python Data Analyst jobs in Vancouver, WA are:
What cities near Vancouver, WA are hiring for Python Data Analyst jobs? Cities near Vancouver, WA with the most Python Data Analyst job openings:
Senior Analytics Analyst - Healthcare Data

Senior Analytics Analyst - Healthcare Data

Surescripts

Beaverton, OR • Hybrid

$123K - $150K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 22 days ago


Job description

Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions - from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers.

Job Summary

The Senior Analytics Analyst - Healthcare Data independently leads analytics workstreams that produce actionable insights, enable product decisions, and strengthen commercial narratives across Surescripts solutions. This role owns analysis from problem framing through delivery, applying strong statistical and analytical judgment to large-scale healthcare transaction data. The Senior Analyst serves as a reliable cross-functional partner, elevates analytic rigor, and mentors junior analysts while remaining hands-on.


Responsibilities
  • Own end-to-end analytics deliverables: scope the problem, define success metrics, develop analytic plans, execute analyses/models, and present results with confidence.

  • Develop and deliver complex descriptive and diagnostic analyses; contribute to predictive/prescriptive efforts with appropriate methods selection and validation.

  • Partner closely with product and engineering to translate ambiguous needs into measurable questions, testable hypotheses, and scalable analytic outputs.

  • Produce high-quality visualizations and narratives that communicate "so what" implications and recommended actions for both technical and business audiences.

  • Establish and maintain reusable analytic assets (queries, datasets, templates, documentation) that improve team efficiency and consistency.

  • Raise the team's quality bar through code review participation, QA checklisting, and methodology transparency (limitations, sensitivity checks, assumptions).

  • Mentor colleagues and team members through coaching, feedback, and structured support on analytic approach and stakeholder communication.

  • Support client-facing work as needed (e.g., preparing exhibits, explaining methods)

Qualifications


Basic Requirements

  • Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Public Health, Epidemiology, Health Economics, or related field required.

  • 5+ years of experience in analytics roles, with demonstrated ownership of multi-stakeholder analyses; healthcare analytics experience strongly preferred.

  • Advanced SQL proficiency; strong Python/R capability for analysis and modeling.

  • Strong visualization and storytelling capability in Tableau/Looker (or equivalent).

  • Proven ability to work with large datasets and to implement sound validation and reproducibility practices.

  • Demonstrated success translating complex analytics into clear, actionable insights.

  • Strong project management habits: prioritization, expectation-setting, and consistent delivery in dynamic conditions.

Preferred Qualifications

  • Master's degree in a quantitative field preferred

Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed.

To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM.

Why Wait? Apply Now


We're a midsize company. This means you're not just another employee ID number. Here, you can build real relationships and feel supported by truly awesome people with diverse backgrounds and talents in an innovative and collaborative work culture. We strive to create an environment where you can be yourself, share your ideas and work your way. We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits.

At Surescripts, base pay is one part of our Total Rewards Package (which may also include bonus, benefits etc.) and is determined within a range. The base pay range for this position is $123,500 - $150,900 per year. Your base pay may vary within or outside of this range depending on a number of factors, including (but not limited to) your qualifications, skills, experience, and location.


Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave and mental health days, pet insurance, and 401(k) with company match and immediate vesting. To learn more, review the Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits. Better Work. Better Life section of our careers site.

Physical and Mental Requirements

While performing duties of this job, an employee may be required to perform any, or all of the following: attend meetings in and out of the office, travel, communicate effectively (both orally and in writing), and be able to effectively use computers and other electronic and standard office equipment with, or without, a reasonable accommodation. Additionally, this job requires certain mental demands, including the ability to use judgement, withstand moderate amounts of stress and maintain attention to detail with, or without, a reasonable accommodation.

Surescripts is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, color, religion, age, national origin, ancestry, disability, medical condition, marital status, pregnancy, genetic information, gender, sexual orientation, parental status, gender identity, gender expression, veteran status, or any other status protected under federal, state, or local law.