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

Stillfront

Data Scientist

Myrtle Point, OR

... data analytics, data modeling, experimentation * Advanced-level proficiency in Python and SQL . * Excellent communication and collaboration skills, with demonstrated experience partnering across ...

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

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.

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 ...

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 ...

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 ...

Avaya

SOC Analyst & Incident Response Lead

OR · On-site +1

Correlate threat intelligence with incident data to understand adversary behavior and campaign ... Hands-on experience with scripting and automation (e.g., PowerShell, Python) to streamline ...

Avaya

SOC Analyst & Incident Response Lead

OR · Hybrid

Correlate threat intelligence with incident data to understand adversary behavior and campaign ... Hands-on experience with scripting and automation (e.g., PowerShell, Python) to streamline ...

Kynite

AWS service consultant

OR

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff ... AWS Services MWAA EMR S3 EKS IAM Neptune Programming Python Operational processes Ticketing systems ...

Kynite

AWS service consultant

OR · On-site

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff ... AWS Services MWAA EMR S3 EKS IAM Neptune Programming Python Operational processes Ticketing systems ...

Arista Networks

Economics Intern - Internal Audit

OR · On-site +1

Company Description Arista Networks is an industry leader in data-driven, client-to-cloud ... Experience with statistical or analytical tools (e.g., R, Python, Stata) preferred * Ability to ...

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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 Jun 20, 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.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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 useful for data analysts?

Python is highly useful for data analysts as 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.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Remote, OR as of June 2026, with employment types broken down into 3% As Needed, 39% Full Time, 47% Part Time, 10% Contract, and 1% Nights. Highlights an 77% Physical, 7% Hybrid, and 16% 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

Posted 24 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