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Contract Python Data Analysis Jobs in Portland, OR

... data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary ... is a plus - Proficient in Python and structured/unstructured data - Proficient in SQL and ...

Machine Learning Data Scientist

Lake Oswego, OR · On-site

$122.64K - $165.47K/yr

... Python, SQL, Predictive Analytics, SketchUp, ETL, XGBoost, Data Modeling Compensation: Trimble provides the following compensation range and general description of other compensation and benefits ...

Contract Attorney

Vancouver, WA · Remote

$40 - $60/hr

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Contract law * Securities law * Bankruptcy law * Alternative dispute resolution Benefits: * You'll ...

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Contract Python Data Analysis information

See Portland, OR salary details

$14

$62

$91

How much do contract python data analysis jobs pay per hour?

As of May 31, 2026, the average hourly pay for contract python data analysis in Portland, OR is $62.17, according to ZipRecruiter salary data. Most workers in this role earn between $51.25 and $70.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Contract Python Data Analyst, and why are they important?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are some common challenges faced by contract Python Data Analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What are Contract Python Data Analysis jobs?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Portland, OR? The most popular types of Python Data Analysis jobs in Portland, OR are:
What job categories do people searching Contract Python Data Analysis jobs in Portland, OR look for? The top searched job categories for Contract Python Data Analysis jobs in Portland, OR are:
Infographic showing various Contract Python Data Analysis job openings in Portland, OR as of May 2026, with employment types broken down into 2% Internship, 4% As Needed, 86% Full Time, 4% Part Time, and 4% Contract. Highlights an 43% Physical, 14% Hybrid, and 43% Remote job distribution, with an average salary of $129,310 per year, or $62.2 per hour.

$119.10K - $143.10K/yr

Contractor

Posted 11 days ago


Job description

Job Description
  • Develop and support data solutions in support of Supply Chain Planning reporting and analytics requirements
  • Engage with product owner, technology lead, report developers, product analysts, and business partners to understand capability requirements and develop data solutions based on product backlog priorities

Requirements
Skills / Qualifications:
  • 5+ years of experience with data engineering with emphasis on data analytics and reporting
  • Experience developing with scripting languages such as Shell and Python
  • Strong experience developing with PySpark, preferably leveraging AWS EMR managed service
  • Expert experience with SQL and Relational database engineering (Oracle, SQL Server, Teradata)- expert-level SQL abilities
  • Experience with agile delivery methodologies- Scrum, SAFe, Extreme Programming
  • Experience working with source-code management tools such as GitHub and Jenkins
  • Ability to partner with business and technology team members, to understand business requirements and translate those into value-add technology solutions

Additional preferences are:
  • Experience developing solutions in Snowflake
  • Experience with workload automation tools such as Airflow, Autosys.
  • Knowledge of building solutions with data visualization and reporting tools (Tableau, Cognos)
  • Knowledge of Supply Chain Operations / Manufacturing business processes and objectives

Skill Set
Skills / Qualifications: 5+ years of experience with data engineering with emphasis on data analytics and reporting Experience developing with scripting languages such as Shell and Python Strong experience developing with PySpark, preferably leveraging AWS EMR managed service Expert experience with SQL and Relational database engineering (Oracle, SQL Server, Teradata)- expert-level SQL abilities Experience with agile delivery methodologies- Scrum, SAFe, Extreme Programming Experience working with source-code management tools such as GitHub and Jenkins Ability to partner with business and technology team members, to understand business requirements and translate those into value-add technology solutions Additional preferences are: Experience developing solutions in Snowflake Experience with workload automation tools such as Airflow, Autosys. Knowledge of building solutions with data visualization and reporting tools (Tableau, Cognos) Knowledge of Supply Chain Operations / Manufacturing business processes and objectives