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Python Data Analyst Jobs in Remote, OR (NOW HIRING)

Under Armour, Inc.

Sr. Data Analytics Engineer

OR

$107K - $128K/yr

Coordinate with Data Platform Engineering team, Enterprise Data Analyst Team, Data Governance Team ... Python and Java programming. * Fundamental data architecture and design. * SQL and strong data ...

Under Armour

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Coordinate with Data Platform Engineering team, Enterprise Data Analyst Team, Data Governance Team ... Python and Java programming. * Fundamental data architecture and design. * SQL and strong data ...

SOSi

Data Scientist

OR · On-site +1

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

SOSi

Data Scientist

OR

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

SOSi

Data Scientist

Myrtle Point, OR

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

Under Armour, Inc.

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Advanced Python for automation, orchestration, and engineering workflows. * Working knowledge of ...

BCForward

Data Engineer

OR · On-site

$35 - $40/hr

Develop and maintain high-quality data models for reporting, analytics, and AI. * Ingest, transform ... Python for data engineering, scripting, and automation. * Understanding of data quality, metadata ...

New

Lumen Technologies

Senior Data Scientist

OR · Remote

$84K - $112K/yr

What We Look For in a Candidate 3-5 years of experience in data science, data engineering, analytics, or a related role Strong Python and SQL skills Experience with Databricks, PySpark, or Spark ...

SOSi

Senior Data Scientist

OR

... Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics. * Experience with Databricks, Apache Spark, or ...

SOSi

Senior Data Scientist

OR · On-site +1

... Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics. * Experience with Databricks, Apache Spark, or ...

SOSi

Senior Data Scientist

Myrtle Point, OR

... Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics. * Experience with Databricks, Apache Spark, or ...

Data Analysis Inc.

Lead IAM Engineer - Remote

OR · Remote

$125K - $140K/yr

Experience with scripting or automation using PowerShell, Python, or similar tools. KNOWLEDGE ... Company Description Data Analysis Inc (DAI) is the parent company of a global group of privately ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Remote, OR

Python Data Analyst information

See Remote, OR salary details

$34K

$82.6K

$135.9K

How much do python data analyst jobs pay per year?

As of Jul 31, 2026, the average yearly pay for python data analyst in Remote, OR is $82,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,900.00 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.
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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Remote, OR as of July 2026, with employment types broken down into 68% Full Time, 6% Part Time, and 26% Contract. Highlights an 60% Physical, 4% Hybrid, and 36% Remote job distribution, with an average salary of $82,559 per year, or $39.7 per hour.

Data Analyst (STEM OPT - Entry Level)

DHARWIN BUSINESS SOLUTIONS LLC

OR • Remote

Full-time

Re-posted 5 days ago

Job description

Location: Remote (United States)
Job Type: Full-Time
Company: Dharwin Business Solutions LLC

About the Company

Dharwin Business Solutions LLC is a US-based technology and business consulting firm providing data analytics, reporting, automation, and business intelligence solutions to clients across the United States and international markets. We work with real-world datasets to support decision-making, operational efficiency, and business growth.

Job Description

We are seeking a STEM OPT-eligible Data Analyst to join our remote analytics team. This role is designed to provide structured training, hands-on project experience, and continuous supervision, ensuring compliance with STEM OPT requirements while helping the candidate build strong analytical and professional skills.

️ Key Responsibilities

  • Analyze structured and unstructured datasets to identify trends and insights

  • Prepare dashboards and reports using tools such as Excel, SQL, Power BI, or Tableau

  • Perform data cleaning, validation, and transformation activities

  • Support business teams by generating periodic performance and KPI reports

  • Assist in ad-hoc data analysis for client and internal projects

  • Document analysis processes and maintain data accuracy standards

  • Work under guidance using internal project monitoring and reporting tools

Qualifications (STEM OPT Eligible)

  • Master’s or Bachelor’s degree in Data Analytics, Data Science, Computer Science, Information Systems, Business Analytics, or related STEM field

  • Currently on F-1 visa with approved STEM OPT or eligible for STEM OPT extension

  • Basic to intermediate knowledge of:

    • SQL

    • Excel

    • Python or R (preferred)

    • Data visualization tools (Power BI / Tableau – preferred)

  • Strong analytical thinking and problem-solving skills

  • Good written and verbal communication skills

‍ Training & Supervision (STEM OPT Compliance)

  • Structured on-the-job training aligned with the candidate’s STEM degree

  • Regular supervision through internal project tracking and reporting systems

  • Periodic performance evaluations and skill assessments

  • Continuous learning through real-time projects and guided tasks

What We Offer

  • 100% Remote work (USA)

  • STEM OPT-compliant employment and training plan

  • Hands-on experience with real client projects

  • Career growth and long-term opportunities

  • Supportive and learning-focused work environment

How to Apply

Interested candidates may apply by sending their resume and visa status details to:
support@dharwinbusinesssolutions.com