1

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

Infrastructure Engineer

OR ยท Remote

$100K - $200K/yr

... analysis, and resolution (e.g., handling high concurrency and massive data processing). * 3+ years ... Python, Go, or Rust) with strong coding fundamentals. * Solid experience with various database ...

JIRA Engineer

OR ยท On-site +1

$49.50 - $64.75/hr

Assess the current Jira Data Center setup, including projects, workflows, custom fields, and user ... Scripting skills (e.g., Groovy, Python) for automating migration tasks or configurations.

Solutions Engineer

Roseburg, OR ยท Remote

$100K - $118K/yr

Reporting to the Data Solutions Manager, this role performs a full range of database analysis and ... Proficiency in programming languages such as Java, Python, or C# for application development and ...

Solutions Engineer

Roseburg, OR ยท On-site +1

$100K - $118K/yr

Reporting to the Data Solutions Manager, this role performs a full range of database analysis and ... Proficiency in programming languages such as Java, Python, or C# for application development and ...

Reporting to the Data Solutions Manager, this role performs a full range of database analysis and ... Proficiency in programming languages such as Java, Python, or C# for application development and ...

Software Developer II

OR ยท Remote

$67K - $90K/yr

Contribute to AI and analytics enablement, ensuring data pipelines are AI-ready and aligned with ... Proficiency in Python, SQL, and Shell scripting for automation and data processing. * Hands-on ...

Sr Lead Site Reliability Engineer

OR ยท Remote

$53.50 - $71/hr

... data normally needed during an outage at their fingertips including preliminary analysis by AI ... Proficiency in scripting languages (Python, Bash, etc.) and automation frameworks. * Experience ...

New

Lead Site Reliability Engineer

OR ยท Remote

$53.50 - $71/hr

... data normally needed during an outage at their fingertips including preliminary analysis by AI ... Proficiency in scripting languages (Python, Bash, etc.) and automation frameworks. * Experience ...

New

AI Agent ML Engineer

Myrtle Point, OR ยท On-site +1

$165K - $190K/yr

Analyze, map, and document business processes; translate process requirements into agentic ... Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence.

Senior Lead IT Engineer, Flexera One

OR ยท On-site +1

$132K - $176K/yr

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications ... Lead root cause analysis and resolution of complex infrastructure and agent-related incidents.

AI Agent ML Engineer

OR

$165K - $190K/yr

Analyze, map, and document business processes; translate process requirements into agentic ... Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence.

next page

Showing results 1-20

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 11, 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.
What are popular job titles related to Python Data Analyst jobs in Remote, OR? For Python Data Analyst jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Remote, OR look for? The top searched job categories for Python Data Analyst jobs in Remote, OR are:
What cities near Remote, OR are hiring for Python Data Analyst jobs? Cities near Remote, OR with the most Python Data Analyst job openings:
Infrastructure Engineer

Infrastructure Engineer

Anytime AI

OR โ€ข Remote

$100K - $200K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 9 days ago


Job description

About Anytime AI

At Anytime AI, we are building the Premier AI Legal Assistant for Plaintiff Lawyers, leveraging the most cutting-edge Generative AI technologies. We empower attorneys by automating essential workflows in personal injury cases, facilitating legal research, auto-drafting legal memos, and analyzing legal documents and medical records to expedite fact-finding. Our secure solution can responsibly help lawyers reduce up to 90% of manual efforts, enabling them to better serve their clients and positively impacting the lives of millions.

Position Overview

As an Infrastructure Engineer, you will play a pivotal role in building and maintaining the foundational systems that power our AI-driven legal tech platform. Your work will directly ensure the stability, scalability, and security of our services. You will design and optimize high-concurrency distributed systems, ensure that complex AI tasks and data flows run efficiently, and provide robust technical support for our full-stack engineers and AI researchers.

Responsibilities

  • Design, build, and maintain high-availability, high-concurrency, and low-latency distributed infrastructure to support the platformโ€™s rapidly growing business needs.
  • Lead the in-depth analysis of microservices and web service architectures, tackle performance bottlenecks, and continuously optimize API response times and overall system throughput.
  • Establish comprehensive monitoring, alerting, and logging systems to ensure 99.9%+ high availability for core services. Rapidly respond to and troubleshoot complex production incidents.
  • Manage and optimize cloud-based infrastructure (e.g., AWS/GCP), utilizing tools like Docker and Kubernetes for advanced service orchestration and scheduling.
  • Collaborate closely with product managers, designers, and backend engineers to translate complex legal workflows into intuitive, responsive UI components.
  • Optimize data routing across complex systems, ensuring highly efficient and stable operation of relational databases, NoSQL databases (such as MongoDB), and caching/vector stores (such as Redis, Pinecone).
  • Uphold the highest standards of software quality and data security at the infrastructure level, implementing security best practices given the strict sensitivity of legal and medical data.

Requirements

  • B.S. in Computer Science, Engineering, or a related field.
  • Core: Extensive experience in developing distributed systems, with the ability to independently design and implement complex, scalable backend architectures.
  • Core: Deep understanding of Web Service architecture, with exceptional skills in system tuning, performance bottleneck analysis, and resolution (e.g., handling high concurrency and massive data processing).
  • 3+ years of experience in backend development, infrastructure engineering, or Site Reliability Engineering (SRE).
  • Proficiency in at least one major backend programming language (such as Python, Go, or Rust) with strong coding fundamentals.
  • Solid experience with various database technologies (MySQL, PostgreSQL) and NoSQL/caching mechanisms (Redis, DynamoDB, etc.).
  • Familiarity with the cloud-native ecosystem, including hands-on experience with containerization (Docker), orchestration tools (Kubernetes), and Infrastructure as Code (IaC, e.g., Terraform).
  • Strong analytical and problem-solving skills, adept at identifying issues and maintaining optimal performance under varying loads.

Preferred Skills

  • Major Plus: Hands-on experience participating in the architecture or backend service development of Agentic AI Systems.
  • Experience developing foundational support services for AI-driven products or open-source LLM projects.
  • Familiarity with information security compliance standards (e.g., SOC2, HIPAA) and experience architecting systems for sensitive legal or healthcare data.
  • Capability to work effectively in a fast-paced and dynamic startup environment.

This Might Be for You If...

  • You thrive on proactivity and have a โ€œget things doneโ€ mindset.
  • You are eager to keep up with the latest industry trends and committed to continuous learning and innovation.
  • You possess a strong passion for building resilient, scalable infrastructure that enables cutting-edge AI products.
  • You excel in environments where projects and priorities may shift, showing your flexibility and problem-solving prowess.
  • You are an excellent communicator, capable of effectively collaborating with a dispersed team to drive platform reliability and performance.
  • You are keen on working in a collaborative environment where your work directly influences the direction of the company.

What We Offer

  • Competitive salary and equity package.
  • Comprehensive benefits package including health, dental, and vision insurance.
  • Opportunity to work with a talented and passionate team at the forefront of AI technology.
  • Flexible work environment with opportunities for professional growth and development.
  • The chance to significantly impact the legal tech industry and help shape the future of AI in law.

How to Apply

If youโ€™re passionate about technology and product in the AI and legal tech space and eager to make a significant impact in a high-growth startup, we want to hear from you! Join us in transforming the way lawyers work with AI-driven solutions.

Anytime AI is an equal opportunity employer. We celebrate diversity and are committed to fostering an inclusive environment for all employees.

Company Description

www.anytimeai.ai