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Weekend Data Analyst Jobs in Seattle, WA (NOW HIRING)

Data Analyst

Redmond, WA · Hybrid

$55 - $60/hr

Data Analyst - PLM Implementation Location: Redmond, WA (Hybrid) Work Schedule: Hybrid Pay Rate: $55-$60 per hour Job Type: 1-year (Contract) Position Overview We are seeking a Data Analyst to ...

Data Analyst Location : Redmond, WA Duration:- Long Term Contract, Extension Likely Mode of Interview : Telephone / Skype * Strong Experience in Data Analyst, SQL, Power BI, Tabular Cube, Excel.

Data Analyst

Redmond, WA · On-site

$113K - $187K/yr

In the Customer Service & Support (CSS) team, we are looking for a Data Analyst with a passion for delivering data-driven insights that enable better business decisions. In this role, you will design ...

New

Data Analyst

Auburn, WA · On-site

$70K - $140K/yr

SUMMARY OF POSITION The Data Analyst - Category & Supplier Insights transforms syndicated POS data and demand signals into actionable intelligence that drives growth across retailers, brands, and ...

Data Analyst

Everett, WA · On-site

$90K - $130K/yr

The Data Analyst role exists to make our data trustworthy. magniX operates across multiple systems -- ERP, program management, and financial planning tools -- and this analyst will be the person who ...

Company Description Annik is a global data and analytics solutions company helping businesses leverage their data assets to deliver tangible business value. We work with businesses across the globe ...

Company Description Annik is a global data and analytics solutions company helping businesses leverage their data assets to deliver tangible business value. We work with businesses across the globe ...

Data Analyst Location: Redmond, WA Duration: 6 Months + Responsibilities: * Data Analyst for the team that owns the A/B experimentation platform * Interacting with decision makers from around the ...

Data Analyst with Marketing or Reporting Data experience Location : Redmond, WA Duration : 18 Months Contract This data analyst role will evaluate sales and performance of various products in ...

Data Analyst Location â Redmond, WA Duration â 12 months Experience Required: â Advanced Excel Skills (beyond just vlookups and pivot tables) â knows how to aggregate data sources and make data ...

Data Analyst Location: Redmond, WA Duration: 6 Months + Responsibilities: * Data Analyst for the team that owns the A/B experimentation platform * Interacting with decision makers from around the ...

Fraud Data Analyst

Seattle, WA · Hybrid

$129K - $145K/yr

Under the supervision of the Director, Analytics, the Fraud Data Analyst will apply advanced data analytics and statistical methodologies to detect fraud risks, evaluate product performance, and ...

Insurance Data Analyst

Seattle, WA · On-site +1

$88K - $123K/yr

Insurance Data Analyst Location: United States Workplace Type: Remote About the Job The future is bright for the Porch Group, and we'd love for you to be a part of it as our Insurance Data Analyst.

Insurance Data Analyst Location: United States Workplace Type: Remote About the Job The future is bright for the Porch Group, and we'd love for you to be a part of it as our Insurance Data Analyst.

Sr Data Analyst

Seattle, WA · Hybrid

$97K - $123K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm's strategic initiatives, in the Data Analytics group is responsible for data-driven forecasting, leading ...

New

How  You 'll  Contribute The Revenue Operations Data Analyst is responsible for turning raw data into trusted, actionable insight that powers reporting, campaigns, and decision-making across the ...

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Showing results 1-20

Weekend Data Analyst information

See Seattle, WA salary details

$38.7K

$94K

$154.8K

How much do weekend data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for weekend data analyst in Seattle, WA is $94,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $110,400.00 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 Seattle, WA? The most popular types of Data Analyst jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Weekend Data Analyst jobs? Cities near Seattle, WA with the most Weekend Data Analyst job openings:
Infographic showing various Weekend Data Analyst job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $94,047 per year, or $45.2 per hour.

Data Analyst

WilsonCTS

Redmond, WA • Hybrid

$55 - $60/hr

Contractor

Re-posted 23 days ago


Job description

Job Title: Data Analyst - PLM Implementation

Location: Redmond, WA (Hybrid)

Work Schedule: Hybrid

Pay Rate: $55-$60 per hour

Job Type: 1-year (Contract)

Position Overview

We are seeking a Data Analyst to support a large-scale Product Lifecycle Management (PLM) implementation initiative. This role will be responsible for collecting, validating, analyzing, cleansing, and transforming product data to support successful migration and implementation activities within a new PLM environment.

The successful candidate will work closely with business stakeholders, IT teams, and project leads to ensure data accuracy, integrity, and readiness for multiple data migration cycles. This position requires strong analytical capabilities, attention to detail, and the ability to work independently while supporting cross-functional teams.

Key Responsibilities

  • Data Analysis & Validation
  • Support project and workstream leads responsible for Bills of Material (BOMs), Parts, and associated documentation.
  • Analyze, validate, and verify data for multiple migration and data load activities.
  • Ensure data accuracy, integrity, and consistency across PLM and ERP systems.
  • Identify data quality issues and support remediation efforts.
  • Pull, analyze, and interpret data to support informed business decisions.

Data Migration & Cleanup

  • Support data cleansing initiatives for PLM and ERP systems.
  • Collaborate with business users and IT teams to execute data corrections and mass updates.
  • Assist in defining data transformation requirements between legacy and future-state systems.
  • Validate migrated data to ensure successful implementation outcomes.

Reporting & Insights

  • Develop reports, dashboards, and visualizations using Excel, Power BI, Tableau, or similar tools.
  • Analyze trends, patterns, and business insights from large datasets.
  • Present findings and recommendations to stakeholders in a clear and actionable manner.
  • Support reporting automation and process improvement initiatives.

Documentation & Process Support

  • Develop and maintain documentation control methodologies supporting PLM processes.
  • Create, review, and update work instructions and process documentation.
  • Support process standardization and governance activities.
  • Assist with user support, reporting requests, and data-related inquiries.

Required Qualifications

  • Bachelor's degree required.
  • 1-3 years of experience in a Data Analyst, Business Analyst, or related role.
  • Strong experience with data analysis and reporting.
  • Advanced Microsoft Excel skills.
  • Experience working with SQL for data extraction and analysis.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Ability to work independently and manage multiple priorities.
  • Excellent written and verbal communication skills.
  • Strong organizational and time-management abilities.

Preferred Qualifications

  • Degree in Data Analytics, Statistics, Mathematics, Computer Science, Engineering, or a related field.
  • Experience supporting PLM implementations or PLM environments.
  • Experience with Windchill or similar Product Lifecycle Management platforms.
  • Experience working with ERP systems.
  • Experience with Power BI, Tableau, or other visualization tools.
  • Knowledge of data migration, validation, and cleansing methodologies.
  • Experience supporting enterprise transformation or system implementation projects.

Ideal Candidate

The ideal candidate is highly analytical, detail-oriented, and comfortable working with large datasets in a fast-paced project environment. They possess strong communication skills, are proactive in identifying data quality issues, and can effectively collaborate with business and technical teams to support a successful PLM implementation.