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Temporary Python Jobs in Oregon (NOW HIRING)

OR · On-site

$61K - $81K/yr

Skills in Python, R, or business intelligence tools used for reporting and analysis. Position location This role is available in the following locations: Remote Term of Contract : 9 months Time zone ...

Strong SQL skills: complex stored procedures, CTEs, window functions, temp tables, index optimization, execution plan analysis * Python proficiency for ETL workloads: pandas, pyodbc or SQLAlchemy ...

Strong SQL skills: complex stored procedures, CTEs, window functions, temp tables, index optimization, execution plan analysis * Python proficiency for ETL workloads: pandas, pyodbc or SQLAlchemy ...

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Temporary Python information

What is the difference between Temporary Python vs Temporary Data Analyst?

AspectTemporary PythonTemporary Data Analyst
Required credentialsBasic programming knowledge, possibly some Python certificationsStatistical, analytical skills, often a degree in data-related fields
Work environmentTech companies, startups, or project-based settingsBusiness, finance, healthcare sectors, often in office settings
Industry usageSoftware development, automation, data processingData interpretation, reporting, business insights

Temporary Python roles focus on scripting, automation, and data processing using Python, often requiring programming skills. Temporary Data Analyst positions emphasize data interpretation, reporting, and statistical analysis. While both roles involve working with data, Temporary Python roles are more technical and coding-oriented, whereas Temporary Data Analysts focus on deriving insights from data sets.

What are the most commonly searched types of Python jobs in Oregon? The most popular types of Python jobs in Oregon are:
What job categories do people searching Temporary Python jobs in Oregon look for? The top searched job categories for Temporary Python jobs in Oregon are:
Infographic showing various Temporary Python job openings in Oregon as of July 2026, with employment types broken down into 2% Locum Tenens, 1% Internship, 88% Full Time, 5% Part Time, 3% Contract, and 1% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.
Staff Credit Analyst (Temporary)

Staff Credit Analyst (Temporary)

Upstart

OR • On-site

$61K - $81K/yr

Other

Posted 20 days ago


Job description

The Team: 

Upstart's Credit Analytics team is responsible for understanding, monitoring, and communicating credit performance across the company. The team develops the processes, tools, and insights that support portfolio monitoring, forecasting, reporting, and risk management.

As a Staff Credit Analyst (Contractor) at Upstart, you will play a critical role in supporting the migration of key credit analytics and operational processes from legacy spreadsheet-based workflows into a newly developed internal platform. You will partner closely with Credit Analytics, Product, Engineering, and Operations teams to validate functionality, reconcile outputs, identify issues, and support a successful rollout and adoption of the new system.

How you'll make an impact

  • Execute testing plans to validate the accuracy and functionality of credit analytics workflows migrated from spreadsheet-based processes into a new platform.
  • Perform detailed reconciliations between legacy and new-system outputs, investigate discrepancies, and document findings
  • Partner with Engineering, Product, and Analytics teams to troubleshoot issues, validate fixes, and support platform readiness for production use.
  • Develop reporting, monitoring, and validation processes that help ensure data quality and operational stability throughout the migration effort.
  • Support go-live activities, including user acceptance testing, issue triage, process documentation, and stakeholder communications.
  • Contribute to change management efforts by creating training materials, documenting workflows, and supporting end-user adoption of new processes.
  • Leverage AI agents and modern tooling to accelerate testing, reconciliation, documentation, and root-cause investigation, continuously improving the speed and quality of the migration effort.

Minimum Qualifications 

  • Bachelor's degree in Finance, Economics, Statistics, Mathematics, Engineering, Analytics, or a related quantitative field (or equivalent practical experience).
  • 6+ years of experience in credit analytics, risk analytics, financial services analytics, or a related quantitative function.
  • Experience performing data validation, reconciliation, testing, or quality assurance activities for analytical or operational processes.
  • Advanced SQL skills and experience working with large datasets.
  • Experience using spreadsheet-based analytical models and translating business requirements into scalable processes or systems.

Preferred Qualifications

  • Knowledge of consumer lending, credit risk, loan performance monitoring, or portfolio analytics.
  • Experience supporting technology implementations, system migrations, or process transformation initiatives.
  • Ability to investigate data discrepancies and partner with technical teams to resolve root-cause issues.
  • Experience creating process documentation, training materials, or operational readiness plans.
  • Skills in Python, R, or business intelligence tools used for reporting and analysis.

Position location This role is available in the following locations: Remote 
Term of Contract: 9 months

Time zone requirements The team operates on West Coast time zones.

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S or Canada (outside of Quebec) but are expected to spend high quality time in-person collaborating via regular onsites and in-person meetings. The onsite cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

"This opportunity is a contractor role and is not eligible for Upstart's employee compensation, equity, bonus, or benefits offerings."
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