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Python Data Analyst Jobs in Oregon (NOW HIRING)

... Data Analyst Experience in data mining Understanding of machine learning and operations research Knowledge of R, SQL, and Python; familiarity with Scala, Java, or C++ is an asset Experience using ...

Sr Data Analyst - Commercial Sales US Remote

OR · On-site +1

$85K - $108K/yr

The Commercial Data, Senior Analyst is responsible for creating and maintaining commercial ... Intermediate to Advanced knowledge and experience using SQL, Power BI dataflows, Python and VBA.

HR Data Analyst, Talent Analytics

OR · Remote

$90K - $106K/yr

POSITION SUMMARY: The HR Data Analyst, Talent Analytics will carry out overall strategy for ... Python, a range of data types of various structures and sizes, and an understanding of the ...

OR

$106K - $125K/yr

OpenX Technologies, Inc. is looking for a Senior Data Analyst to join our dynamic and high ... such as Python) preferred. Outstanding written and verbal communication skills. Ability to ...

We are looking for an GTM Data & Automation Analyst to build, test, deploy, and scale some of our ... We need you to have a strong hands on knowledge of data & apps product development with Python ...

Applied Data Science & Analytics * Strong proficiency in statistical analysis, A/B experimentation ... Ability to work with engineering teams using modern software practices (Python, data platforms ...

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

$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

$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 ...

Develop Python scripts for data analysis, automation, and supporting analytical workflows. * Query SQL Server and Oracle databases to support business analytics and reporting needs. * Document ...

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Python Data Analyst information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do python data analyst jobs pay per year?

As of Jun 6, 2026, the average yearly pay for python data analyst in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 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.

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.
What are the most commonly searched types of Python Data Analyst jobs in Oregon? The most popular types of Python Data Analyst jobs in Oregon are:
What job categories do people searching Python Data Analyst jobs in Oregon look for? The top searched job categories for Python Data Analyst jobs in Oregon are:
What cities in Oregon are hiring for Python Data Analyst jobs? Cities in Oregon with the most Python Data Analyst job openings:
Infographic showing various Python Data Analyst job openings in Oregon as of May 2026, with employment types broken down into 13% As Needed, and 87% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.
Senior Data Solutions Analyst: Operational Data & Reporting team

Senior Data Solutions Analyst: Operational Data & Reporting team

Liberty Mutual

On-site, Remote

$85K - $108K/yr

Full-time

Posted 11 days ago


Liberty Mutual rating

8.9

Company rating: 8.9 out of 10

Based on 139 frontline employees who took The Breakroom Quiz

45th of 260 rated insurance


Job description

Description

About the Team - USRM Data Office

Ensuring that data is a competitive differentiator for our enterprise, the USRM Data Office sets strategic data product visions, governs data for quality and compliance, develops best in class data and reporting solutions, and continuously seeks to optimize the value that data creates for our customers and company. Our team includes data analysts, data stewards, data strategists, and data product owners - performance-driven individuals who make sure that data is appropriately leveraged across every layer of our business.

The Operational Data & Reporting team within USRM Data Office is seeking a Senior Data Solutions Analyst focusing on delivering best in class data & reporting solutions and insights for a range of stakeholders within our Cross Functional reporting team, supporting Service.

**Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. **

 Responsibilities:

  • Design and develop scalable data solutions with a focus on reusability that enable effective self-service data consumption.
  • Independently works on highly complex assignments and prototyping/developing data solutions that meet the needs of the organization and business customers. Coding scalable proof-of-concepts and solutions.
  • Stay informed on advancements in data engineering, business intelligence, evaluate new tools and recommend adoption where appropriate.
  • Identify opportunities to apply Gen AI for data discovery, lineage summarization, automated documentation, query generation and developer productivity (prompt engineering and code generation)
  • Designs proof-of-concept solutions utilizing and advanced understanding of multiple coding languages to meet technical and business requirements with an ability to perform iterative solution testing to ensure specifications are met.
  • Strive to become a technical leader and mentor for the team, providing assistance & guidance to junior team members
  • Design and develops data solutions that enable effective self-service data consumption and can describe their value to the customer.
  • Identifies and utilizes best practices and iterative testing to ensure requirements are met.
  • Prioritizes efforts based on customer value and can set expectations for deliverables of high complexity.
  • Able to lead projects and collaborate with stakeholders to ensure effective project execution.
  • Optimize and tune processes for performance, scalability, reliability and cost-efficiency
  • Ensure data solutions include activities and deliverables required to achieve high data quality and displays a strong understanding of complex, multi-tier, multi-platform systems, applying principles of metadata, lineage, business definitions, compliance and data security to project work.

The Ideal Candidate will:

  • Have strong technical aptitude with data manipulation, data wrangling and Reporting Tools(SQL, Power BI, SAS, Python cloud computing, and Snowflake)
  • Develop subject matter expertise and business knowledge required for the assigned reporting suite
  • Demonstrate 3+years of experience building production data pipelines, data solution and Power BI Dashboards.
  • Possess hands-on experience with data quality testing frameworks and practices and experience implementing automated data tests and validation.
  • 3-5 years' experience in coding for data management, data warehousing, or other data environments, including, but not limited to, ETL & scripting languages (Python, PowerShell)
  • 3-5 years' experience with top quadrant Business Intelligence tools.  Demonstrated technical knowledge and skills in coding languages and business intelligence tools (e.g. SAS, SQL, Power BI, Snowflake) and strong interest in expanding knowledge in this space.
  • Must possess strong analytical, strategic, project management, decision-making and problem-solving skills.
  • Demonstrates a comprehensive understanding of new technologies as needed to progress initiatives.
  • Able to describe value and support the prioritization of data solutions.
  • Able to organize and address customer pain points.
Qualifications
  • Strong written and oral communication skills required
  • Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred
  • Master`s in same or related disciplines strongly preferred
  • 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack
About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefitsLiberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco
Employment Type: FULL_TIME

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Benefits

Hours and flexibility

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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