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Senior Python Data Analysis Jobs in Oregon (NOW HIRING)

OR ยท On-site

$121K - $163K/yr

Strong experience with asynchronous data retrieval and processing in Python. * Experience with ... Strong analytical, problem-solving, and translation skills (turning business goals into reliable ...

OR ยท On-site

$114K - $137K/yr

Our work directly shapes how companies process massive datasets: real-time analytics platforms ... About the role As a Senior Software Engineer specializing in Python and the Data Ecosystem , you'll ...

Uses data analysis techniques to extract information and identify patterns or trends. * Builds ... Applies basic development skills working with Python, SQL Queries, etc. to extract business ...

Senior Data Engineer

$105K - $150K/yr

SKILLS & COMPETENCIES Coach and mentor the Analytics Engineering team: guiding, planning, and ... Experience building API data ingestion pipeline using Python in cloud service required. Knowledge ...

This role supports enterprise AI activities focused on research portfolio analysis, operational ... Experience with SQL, Python, ETL processes, databases, and analytics/reporting environments.

Applied Data Science & Analytics * Strong proficiency in statistical analysis, A/B experimentation ... Passion for mentoring senior and junior data scientists, fostering technical excellence, and ...

Data Engineer

$90K - $135K/yr

Conduct exploratory data analysis, identify patterns, trends, and outliers, and translate complex ... Some development experience in at least one scripting language (Python, R, etc.) is a plus.Strong ...

Senior Data Engineer

Portland, OR ยท Remote

$112K - $152K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Design and develop Power BI dashboards for data analysis and business reporting. * Creating Python ...

Senior Data Analyst

OR ยท On-site +1

$80/hr

... data analysis and lead our engineering and product teams to solve the biggest problems and ... Strong knowledge of SQL, familiarity with Python, and experience digging into JSONs, logs, or API ...

Sr. Data Analyst - Finance

OR ยท On-site +1

$120K - $130K/yr

We are looking for a data-driven Senior Data Analyst to join our finance team. You will support and ... Proficiency in Python or R for advanced statistical analysis and predictive modeling is a strong ...

Sr. Scientist

OR ยท On-site +1

Lead large-scale genomics data analysis, specifically in Chronic Kidney Disease (CKD), to extract ... Utilize tools like R, R Shiny, or Python libraries (e.g., Matplotlib, Seaborn) to build intuitive ...

Financial Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

... analysis across the Finance Department. You will also partner with non-data users to deliver ... With the support of subject matter experts and other senior engineers, this role will combine the ...

Financial Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

... analysis across the Finance Department. You will also partner with non-data users to deliver ... With the support of subject matter experts and other senior engineers, this role will combine the ...

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Senior Python Data Analysis information

What are the key skills and qualifications needed to thrive as a Senior Python Data Analyst, and why are they important?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What are the most commonly searched types of Python Data Analysis jobs in Oregon? The most popular types of Python Data Analysis jobs in Oregon are:
What job categories do people searching Senior Python Data Analysis jobs in Oregon look for? The top searched job categories for Senior Python Data Analysis jobs in Oregon are:
Senior Python Developer

Senior Python Developer

The Motley Fool

OR โ€ข On-site

$121K - $163K/yr

Other

Posted 16 days ago


Job description

Who Are We?

The Motley Fool is a purpose-driven financial services company on a mission to make the world smarter, happier, and richer. For 30 years, we've been helping people make better investment decisions through transparency, education, and a healthy dose of Foolish fun. We're a fast-moving, collaborative team that values high-quality work, curiosity, and initiative. We care deeply about what we do, and we're driven by the impact our work has on real people's financial futures.

What Does This Team Do?

Our Commerce and Messaging (Customer Engagement) tech team is at the epicenter of The Motley Fool's subscription business. All revenue transactions, subscription-related events, and marketing, product, and retention communications flow through the systems that this team manages. We have recently modernized our commerce stack to Python, FastAPI, and Stripe, and we are currently migrating our remaining messaging stack from legacy .NET to modern Python, while streamlining our Braze setup.

What Will You Do in This Role?

The Python Developer plays a critical role in driving our commerce and communication infrastructure forward. You will collaborate closely with other developers, product owners, and business stakeholders to design, build, and optimize critical transactional and messaging pipelines that support our global membership base.

Okay, but what will you actually do in this role?
  • Develop new features for our core commerce and customer engagement platforms.

  • Work directly with stakeholders to iterate and get rapid feedback on feature development.

  • Appropriately use AI tools like Claude Code and multi-agent workflows on a daily basis to assist with planning and implementation.

  • Ensure our critical transactional and event systems have high availability, durability, accuracy (since money is on the line), and remain highly performant.

  • Build and enhance admin tooling and workflows that enable our internal business stakeholders to be more self-sufficient.

  • Ensure features meet acceptance criteria and are supported by robust automated test coverage.

  • Integrate with third-party providers and tools (such as Stripe and Braze)-leveraging their existing functionality and working around their limitations.

  • Investigate, troubleshoot, and fix reported bugs and Sentry errors.

  • Collaborate with the Product Owner and Project Manager to break down business requirements into clear technical stories and tasks.

  • Partner with multiple in-house engineering squads and external providers to launch customer-facing solutions.

  • Review peer code and participate in our team's on-call rotation to maintain system reliability.

  • Support and scale platforms across multiple countries.

You Might Be a Good Fit If You:
  • Are deeply curious, love to learn, and enjoy solving complex architectural migration problems (like moving legacy services from .NET to Python).

  • Value high-performance, cross-functional collaboration and enjoy working closely with stakeholders in a consultative manner.

  • Have a keen eye for system accuracy and durability-knowing that millions of revenue-generating transactions depend on your work.

  • Welcome modern development practices, including integrating advanced AI engineering workflows into your daily routine to scale your impact.

  • Take proactive ownership of system health, testing, telemetry, and error monitoring.

Required Experience and Skills:
  • 5+ years of experience building, delivering, enhancing, and maintaining APIs consumed by multiple systems using Python and a Python-based API framework like FastAPI.

  • Experience building scalable, high-performance backends served to hundreds of thousands of simultaneous users.

  • Hands-on experience with Stripe billing and payment infrastructure.

  • Strong experience with asynchronous data retrieval and processing in Python.

  • Experience with Docker, containerization, and modern automated CI/CD pipelines.

  • Proficiency in system monitoring, telemetry, and debugging production performance issues.

  • Strong analytical, problem-solving, and translation skills (turning business goals into reliable technical execution).

  • Ability to work US East Coast core hours (spanning the 10:00 AM - 5:00 PM EST timeframe).

  • Nice-to-Have/Pluses: Experience with Braze (or similar customer engagement platforms), RabbitMQ, PostgreSQL, Redis, legacy .NET/C# migration, or frontend technologies like Next.js, React, Tailwind, and TypeScript.

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