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Contract Python Data Analysis Jobs in Portland, OR

PayRange

Senior Data Analyst, BI & Analytics

Portland, OR · On-site

$91.20K - $115.10K/yr

... analysis. * Self-directed working style and ability to operate as the primary data person in the company. Nice to have * Experience with BigQuery, Postgres, dbt, Git, Python, Airflow, AWS, or similar ...

PayRange

Senior Data Analyst, BI & Analytics

Portland, OR · On-site

$91.20K - $115.10K/yr

... analysis. * Self-directed working style and ability to operate as the primary data person in the company. Nice to have * Experience with BigQuery, Postgres, dbt, Git, Python, Airflow, AWS, or similar ...

SSI People

Data Analyst (Tableau)

Beaverton, OR · On-site

Develop and automate data workflows utilizing SQL and Python to reduce manual efforts and enable faster, repeatable analytics across large-scale supply chain datasets. * Leverage AI-powered tools ...

Eyecarecenterofsalem

Data Scientist

Portland, OR

... 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 ...

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

As of May 30, 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 are popular job titles related to Contract Python Data Analysis jobs in Portland, OR? For Contract Python Data Analysis jobs in Portland, OR, the most frequently searched job titles 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:
Contract Python Data Analysis jobs near you
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.
Senior Data Analyst, BI & Analytics

Senior Data Analyst, BI & Analytics

PayRange

Portland, OR • On-site

$91.20K - $115.10K/yr

Full-time

Posted 10 days ago

Job description

About PayRange
PayRange is a leading fintech and mobile commerce platform transforming the unattended retail industry through innovative payment and technology solutions. Our platform enables consumers to make seamless mobile purchases across vending, laundry, amusement, coffee, and other self-service environments. With a growing global presence across North America, Europe, and Asia, PayRange is helping modernize everyday transactions while powering a connected ecosystem for operators, partners, and consumers.
As we continue to scale through growth, innovation, and acquisition, data is becoming increasingly central to how we operate, measure success, and make decisions across the business.
About the Role
PayRange is looking for a Senior Data Analyst, BI & Analytics to become the company's first dedicated data and business intelligence owner. Reporting to the Founder/CEO, you will work closely with the leadership team to build trusted reporting, dashboards, data sources, and analytical foundations used across the company.
This is a hands-on role for someone who is equally comfortable writing SQL, building Tableau dashboards, modeling data, reconciling metrics, and working with business leaders to turn objectives into measurable operating insights.
You will support Finance, Sales, Marketing, Operations, Support, Product, and Executive leadership. You will work with data from systems such as Postgres, BigQuery, Salesforce, Zendesk, QuickBooks, NetSuite, Tableau, and other internal and external sources.
What you will do
  • Write SQL queries, views, and analytical tables that turn raw data into usable business datasets.
  • Build and maintain trusted dashboards, reports, and published data sources for executives and operating teams.
  • Define and document core business metrics, including revenue, transaction activity, customer/operator health, support trends, sales performance, operational performance, and other KPIs.
  • Partner with Finance on SaaS metrics including ARR walks and retention reporting
  • Work with Sales, Marketing, Operations, Support, Product, and Engineering to understand business questions and translate them into data models, dashboards, and insights.
  • Identify data quality issues, investigate discrepancies, and establish checks to improve trust in company reporting.
  • Help design the analytics layer that enables self-service reporting and consistent metrics across the organization.
  • Prioritize data requests and balance quick-turn analysis with long-term scalable reporting.
  • Train and support business users in how to interpret dashboards and use data effectively.
  • Help shape the future data stack, including tools, governance, documentation, and reporting standards.

What we are looking for
  • 6+ years of experience in data analysis, business intelligence, analytics engineering, or a related role.
  • Advanced SQL skills and experience working with relational databases and/or cloud data warehouses.
  • Strong Tableau experience, including dashboard design, published data sources, extracts/live connections, calculated fields, and performance considerations.
  • Experience building reusable data models, reporting tables, views, or semantic layers.
  • Strong business judgment and ability to translate ambiguous questions into clear metrics and analysis.
  • Experience working with cross-functional teams such as Finance, Sales, Marketing, Operations, Support, and Product.
  • Ability to communicate clearly with both technical and non-technical audiences.
  • Strong data quality mindset, including validation, reconciliation, documentation, and root-cause analysis.
  • Self-directed working style and ability to operate as the primary data person in the company.

Nice to have
  • Experience with BigQuery, Postgres, dbt, Git, Python, Airflow, AWS, or similar tools.
  • Experience with Salesforce, Zendesk, NetSuite, QuickBooks, or other business systems.
  • Experience in payments, fintech, IoT, marketplace, usage-based, B2B, or recurring-revenue businesses.
  • Experience supporting executive, board, finance, or company operating reviews.
  • Familiarity with data governance, metric definitions, and data cataloging.

What success looks like
In the first 90 days, you will understand the company's core data sources, build relationships with key stakeholders, take ownership of existing reporting, and deliver improvements to the executive dashboard and core business metrics.
Over time, you will establish the company's trusted data foundation, reduce manual reporting, improve confidence in key metrics, and help every department make better decisions with data.

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