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Weekend Data Analyst Jobs in Oregon (NOW HIRING)

OR · On-site

$85K - $108K/yr

An analyst here can own a data product end-to-end, from methodology to client delivery, and present directly to the investors who depend on it. You won't spend months waiting for "meaningful work.

Senior Data Analyst

Beaverton, OR · On-site

$89K - $112K/yr

Senior Data Analyst- NIKE, Inc.- Beaverton, OR. Design, develop, and implement new decision support solutions that help the business leverage data to make informed decisions; assist the business ...

Sr Data Analyst

OR · Remote

$82K - $154K/yr

IMPACT YOU'LL MAKE As a Sr. Data Analyst focused on Debit Analytics,you'llplay a pivotal role in transforming how BECU understands, measures, and enhances the member experience through debit products.

Senior Data Analyst

OR · On-site +1

$80/hr

A Senior Data Analyst at Array will bring foundational knowledge in data analysis and lead our engineering and product teams to solve the biggest problems and challenges that we're facing. You will ...

... analytical and debugging skills. Should be able to examine data patterns to identify performance issues and improvement opportunities. Must be meticulous and careful, maintain detailed logs of day-to ...

OR · On-site

$67K - $89K/yr

GHX is seeking a Technical Data Analyst III to work on our Content Tooling solution with a focus on data analysis, reporting, and data quality. This individual will be responsible for analyzing ...

The Communications and Data Analyst supports cybersecurity program execution by developing clear communications, collecting and analyzing operational data, and producing reports, dashboards, and ...

Job Title: Data Analyst - Material Handling Equipment (MHE) Location: Preferred - Greater Chicago, IL; Greater Atlanta, GA; Greater Dallas, TX. Otherwise, proximity to a major airport is ideal.

Job Title: Data Analyst - Material Handling Equipment (MHE) Location: Preferred - Greater Chicago, IL; Greater Atlanta, GA; Greater Dallas, TX. Otherwise, proximity to a major airport is ideal.

The Communications and Data Analyst will support cybersecurity program execution by developing communications, collecting and analyzing data, and producing reports that inform program leadership and ...

OR · On-site

$66K - $76K/yr

ROLE OVERVIEW We are looking for a HR Data Analyst to join our team to build Workday reporting supporting HR, Operations, Finance, and Legal needs. In addition, this role will produce and monitor ...

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Showing results 1-20

Weekend Data Analyst information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do weekend data analyst jobs pay per year?

As of Jun 10, 2026, the average yearly pay for weekend data analyst in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

What are Weekend Data Analysts?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What Does a Weekend Data Analyst Do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

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

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

What does a typical weekend shift look like for a Weekend Data Analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.
What are the most commonly searched types of Data Analyst jobs in Oregon? The most popular types of Data Analyst jobs in Oregon are:
What cities in Oregon are hiring for Weekend Data Analyst jobs? Cities in Oregon with the most Weekend Data Analyst job openings:

$90K - $114K/yr

Contractor

Posted 21 days ago


Job description

Job Description
Job Duties:
• 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
Python, SQL, Data