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Weekend Data Analyst Jobs in Oregon (NOW HIRING)

Senior Data Analyst

OR · Remote

$85K - $108K/yr

ABOUT THE TEAM The Financial Data Analytics team is the connective tissue between Finance, Accounting, and Engineering. Our mission is to deliver trusted financial data that is both a foundation for ...

Sales Data Analyst

Medford, OR · On-site

$70K - $80K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The Sales Data Analyst is responsible for identifying, understanding, and combining data sources and analytical techniques to empower the sales team and leaders with data driven actionable insights ...

OR · On-site

$130K - $155K/yr

  • Medical

  • Dental

  • Retirement

What We Need We are looking for a Senior Data Analyst to join our Revenue Strategy, Data & Analytics team - the GTM brain trust responsible for planning the year, reading the signal, and calling the ...

Senior Data Analyst

OR · On-site +1

$80/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Senior Data Analyst

OR · On-site +1

$90K - $125K/yr

We're looking for an experienced Senior Data Analyst to help us design and execute on clinical evidence studies with the mission of delivering personalized care to cancer patients. What you'll do:

... 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 ...

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 IDEAL CANDIDATE The ideal candidate is a self-motivated problem-solver who excels at using data and analytics to optimize complex operational processes. They are energized by the opportunity to ...

The Data Analyst, Home Lending role will be critical in strengthening our first-line secured lending data, reporting, and risk oversight capabilities. The ideal candidate will own and support ...

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

We are looking for a data-driven Senior Data Analyst to join our finance team. You will support and advocate for the finance teams data needs throughout the organization. You will collaborate with ...

Civic Data Analyst (Sustainable Mobility)

Portland, OR

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Alta Planning + Design seeks a Civic Data Analyst (Sustainable Mobility) for our Portland office. This position is a great opportunity for someone who believes in the importance of active, multimodal ...

Showing results 21-40

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 Aug 14, 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 is a weekend data analyst?

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:

Infographic showing various Weekend Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $87,374 per year, or $42 per hour.

$85K - $108K/yr

Full-time

Re-posted 9 days ago


Instacart rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

28th of 64 rated delivery companies


Job description

ABOUT THE ROLE

We are seeking a highly skilled and intellectually curious analyst to shape the future of financial data at Instacart, driving innovation at the intersection of systems, analytics, and business strategy.

In this role, you will architect and deliver data models, pipelines, and reporting infrastructure that empower Finance and Accounting with trusted insights at scale. 

You'll collaborate across technical and business teams to ensure financial data is accurate, reliable, and compliant, while also advancing large-scale systems initiatives, accelerating the month-end close, and optimizing cloud spend in our AWS environment.

ABOUT THE TEAM

The Financial Data Analytics team is the connective tissue between Finance, Accounting, and Engineering. Our mission is to deliver trusted financial data that is both a foundation for compliance and a catalyst for strategic decision-making. We combine technical depth with financial expertise to build scalable, high-value data solutions-transforming complexity into clarity and empowering leaders to act with confidence.

KEY RESPONSIBILITIES

  • Bridge Data & Business Needs - Translate business requirements into scalable data models by asking the right questions, digging into details, and mining insights that create measurable impact.
  • Own Data Initiatives End-to-End - Take ambiguous ideas and transform them into well-defined, high-impact projects with clear deliverables.
  • Build Decision-Making Tools - Design and automate dashboards, models, and reporting systems that surface clear insights and guide long-term growth strategies.
  • Support Revenue Accounting - Build and maintain data products (dashboards, reports, analyses) that underpin the Revenue Accounting organization, including embedding revenue recognition logic into robust financial data models.
  • Ensure Compliance & Governance - Apply compliance-first design principles to support SOX, audit readiness, and enforce data governance standards.
  • Maintain Data Integrity - Implement validation, monitoring, and reconciliation frameworks to ensure accuracy, consistency, and reliability across financial datasets.
  • Drive Continuous Improvement - Proactively identify opportunities for process optimization, automation, and system enhancement, unlocking efficiency across Finance and Accounting.
  • Leverage AI & Next-Generation Analytics - Harness cutting-edge AI technologies (e.g., Claude, Cursor, Python ML libraries, Copilot) to reimagine how financial data is modeled, automated, and delivered-accelerating insights, scaling workflows, and shaping the future of financial analytics.

ABOUT YOU

Minimum Qualifications

  • Bachelor's degree in a related field or equivalent practical experience
  • 5+ years (7+ preferred) of experience in data analytics or analytics engineering roles
  • Strong SQL and cloud data fundamentals, with hands-on experience in Snowflake, dbt, and BI tools (Mode, Looker, Tableau, etc.)
  • Experience building and supporting complex data pipelines with emphasis on accuracy, compliance, and traceability
  • Familiarity with financial data structures, accounting processes, and enterprise systems (e.g., Oracle, Workday, Salesforce, Adaptive)
  • Strong communication skills with the ability to engage effectively across technical and non-technical teams

Preferred Qualifications

  • Public company experience with exposure to SOX compliance
  • Background in high-growth technology environments
  • Experience implementing large-scale financial or operational systems (ERP, enterprise data platforms, etc.)
  • Project management experience a plus
  • Demonstrated ability to support Finance and Accounting teams with scalable data solutions
  • Cloud cost management experience, ideally in an AWS environment
  • Familiarity with AI/ML applications in data analytics (e.g., natural language SQL tools, forecasting models, anomaly detection frameworks)

#LI-Remote


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012