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Senior Python Data Analysis Jobs in Oregon (NOW HIRING)

Senior Data Analyst

OR · 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 ...

The Senior Data Scientist will lead the application of advanced analytics and applied data science ... Proficiency in Python and SQL for data analysis and modeling * Experience working with healthcare ...

Financial Data Engineer

Beaverton, OR · On-site

$119.10K - $143.10K/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

$119.10K - $143.10K/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 ...

Senior Data Analytics Engineer

OR · On-site +1

$130K - $175K/yr

We are seeking an innovative Senior Data Engineer to join our Startup AI and Data Analytics ... Act as a SQL/Python expert to optimize data pipelines and troubleshoot issues proactively, ensuring ...

Senior Data Analytics Engineer

OR · On-site +1

$130K - $175K/yr

We are seeking an innovative Senior Data Engineer to join our Startup AI and Data Analytics ... Act as a SQL/Python expert to optimize data pipelines and troubleshoot issues proactively, ensuring ...

Financial Data Engineer

Beaverton, OR · On-site

$119.10K - $143.10K/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

$119.10K - $143.10K/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 ...

Use analytical rigor and statistical methods to analyze large amounts of data, extracting ... Advanced experience with Python, R, SQL, and any other related programs for executing the above ...

OR

$140K - $175K/yr

We work closely with Data Scientists and Data Analysts to transform data into meaningful business ... Experienced in SQL-based and python data manipulation with large datasets. * Thrive in a dynamic ...

Senior Lead Data Architect

OR · Remote

$63 - $84.50/hr

... analytics delivery. Leverage scripting (Python, SQL) alongside automation platforms to ... in data analytics, with at least 3 years in a senior or principal role. * Proficiency in SQL ...

OR

$85.90K - $108.40K/yr

Support continuous improvement initiatives through data analysis and performance monitoring * Maintain working knowledge of business applications and support ongoing enhancements and optimization

Senior Data Analyst

OR · Remote

$85.90K - $108.40K/yr

Leverage AI & Next-Generation Analytics - Harness cutting-edge AI technologies (e.g., Claude, Cursor, Python ML libraries, Copilot) to reimagine how financial data is modeled, automated, and ...

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Showing results 1-20

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 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 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 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 are popular job titles related to Senior Python Data Analysis jobs in Oregon? For Senior Python Data Analysis jobs in Oregon, the most frequently searched job titles 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 Data Analyst

Senior Data Analyst

Array

On-site, Remote

$80/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


Job description

Array is a financial innovation platform that helps digital brands, financial institutions, and fintechs get compelling consumer products to market faster. We deliver a suite of credit and identity monitoring tools, privacy protection, and a financial ads marketplace via embeddable widgets or a clean, modern API. Our private label offerings help drive revenue and increase engagement for our customers while empowering millions of consumers to achieve their financial goals.

As a remote-first company, we're focused on providing opportunities for high performing individuals to have deep impact in the fast growing fintech space. A clear mission, a commitment to continuous improvement and a willingness to experiment empower us individually and together deliver the best products for our clients and users.

A Senior Data Analyst at Array will bring foundational knowledge in data analysis and lead our engineering and product teams to solve the biggest problems and challenges that we're facing. You will work with business and technology leaders to understand the holistic business strategy and then design and execute against technical strategies for delivery. This position will likely report to the CEO or Data Lead and focus their work with the product data team.

This role will leverage a 2 day paid interview technical assignment as a part of the hiring process. For candidates that do well during the paid interview, we will consider moving to a 180 day contract or probationary period.

You Will:

  • Trace issues back through data pipelines or code to uncover why something isn't behaving as expected.
  • Write clear, concise Jira tickets explaining what was found, how it was fixed, and how to prevent similar issues.
  • Partner with engineers and product managers to make data and code more reliable, faster, and easier to understand.
  • Help build a culture of technical curiosity - where asking why and testing assumptions is part of every release.
  • Leverage AI tools to think, build, and ship faster.

You Have:

  • A curiosity about how systems, code, and data work; a knack to pull things apart and see what's really happening under the hood.
  • Strong knowledge of SQL, familiarity with Python, and experience digging into JSONs, logs, or API outputs to validate what's flowing through the system.
  • Comfortable reading and reasoning about someone else's code, identifying where things might be slowing down.
  • The ability to turn ambiguous problems into clear next steps - you chase root causes.
  • A mindset that values being less wrong each time - you approach analysis with humility, rigor, and a desire to continuously improve.
  • Analytical skills to develop data-driven insights that help improve user experience and drive conversion rates.
  • A belief that AI is reshaping work, you instinctively use it to accelerate everything you do.

Pay Transparency: $300 a day for the paid interview. $80/hr for the 180 day contract period. 

Expected Interview Process: Recruiter conversation - Paid Interview test (2 days) - Loop: meet the lead data analyst, How We Work Interview. 

Array Offers All Full Time Employees the following Benefits and Perks (benefits start upon conversion to Full Time): 

  • Full medical, dental, and vision, premiums covered at 100% for full-time employees and 70% for dependents
  • Unlimited PTO and sick leave + 14 company holidays to encourage a healthy work-life blend
  • 100% 401k match up to 4% with immediate vesting
  • Generous and competitive parental leave for all parents
  • $1,000 desk setup subsidy to set-up your unique remote office
  • $100/month to subsidize wifi/cell phone expenses
  • Summer Fridays (half-day Fridays) typically from late May to the end of August
  • AnniversArray Kits for work anniversaries
  • Commuter benefits for those who choose to go into our New York City or San Francisco office spaces

Not sure if you meet the Qualifications? We know that folks tend to only apply if they check every box. If you think you have the appropriate qualifications, but don't meet every single one, we encourage you to still apply. We'd love to hear from you.

We are proud to be an equal opportunity workplace; we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Array will provide reasonable accommodations to qualified applicants-if you need an accommodation to participate in the application or interview process, please email talent@array.com to make your request.

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