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

Environmental Data Analyst

Olympia, WA · On-site

$76K - $110K/yr

Salary Range: $76,000.00 - $110,000.00 Salary/year GSI is seeking an Environmental Data Analyst who combines technical ability, analytical creativity, and business acumen to strengthen our data ...

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

Job Overview As a Senior Data Analyst, you will partner with leaders across product, platform engineering, and business teams. You will work closely with cross-functional partners to translate ...

Senior Data Analyst

Seattle, WA · On-site

$97K - $123K/yr

Job Overview As a Senior Data Analyst, you will partner with leaders across product, platform engineering, and business teams. You will work closely with cross-functional partners to translate ...

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

Job Overview As a Senior Data Analyst, you will partner with leaders across product, platform engineering, and business teams. You will work closely with cross-functional partners to translate ...

Electrical Data Analyst Location: Seattle, WA (hybrid, 1 day a week onsite) Type: Contract Compensation: $35.36 per hour on W2 Security Clearance: US Citizen or Greencard Holder Responsibilities

Electrical Data Analyst Location: Seattle, WA (hybrid, 1 day a week onsite) Type: Contract Compensation: $35.36 per hour on W2 Security Clearance: US Citizen or Greencard Holder Responsibilities

Electrical Data Analyst Location: Seattle, WA (hybrid, 1 day a week onsite) Type: Contract Compensation: $35.36 per hour on W2 Security Clearance: US Citizen or Greencard Holder Responsibilities

Electrical Data Analyst Location: Seattle, WA (hybrid, 1 day a week onsite) Type: Contract Compensation: $35.36 per hour on W2 Security Clearance: US Citizen or Greencard Holder Responsibilities

Electrical Data Analyst Location: Seattle, WA (hybrid, 1 day a week onsite) Type: Contract Compensation: $35.36 per hour on W2 Security Clearance: US Citizen or Greencard Holder Responsibilities

As a data analyst in global operations, you'll have the opportunity to combine your analytical expertise with an AI-first mindset to design and deploy analytical solutions that drive strategic ...

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Weekend Data Analyst information

See Home, WA salary details

$38.5K

$93.6K

$154K

How much do weekend data analyst jobs pay per year?

As of Sep 11, 2026, the average yearly pay for weekend data analyst in Home, WA is $93,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,900.00 per year, depending on experience, location, and employer.

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 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.

Can you be a weekend data analyst as a side hustle?

Weekend data analysts can often work part-time or freelance schedules, making it feasible to pursue as a side hustle. They typically analyze data using tools like Excel, SQL, or Python, and may need to coordinate with their primary job to ensure availability during weekends. Flexibility depends on employer policies and project deadlines.

What job categories do people searching Weekend Data Analyst jobs in Home, WA look for?

The top searched job categories for Weekend Data Analyst jobs in Home, WA are:

What cities near Home, WA are hiring for Weekend Data Analyst jobs?

Cities near Home, WA with the most Weekend Data Analyst job openings:

Infographic showing various Weekend Data Analyst job openings in Home, WA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $93,598 per year, or $45 per hour.
US General Services Administration
Public Administration • 10K+ employees

$108K/yr

Full-time

Posted 27 days ago


Job description

As a Data Analyst, you will assist diverse stakeholders by leveraging data analytics tools to enhance decision-making and operational efficiency, including managing the ongoing preparation, retrieval, and transfer of data.

This position is in the General Services Administration (GSA), Public Buildings Service (PBS), Office of Portfolio Management.

We are currently filling one vacancy, but additional vacancies may be filled as needed.

Qualifications:

To evaluate your qualifications, your resume must clearly demonstrate how you meet the specialized experience described below. Your resume must not exceed two pages. To ensure your qualifications can be fully evaluated, we recommend including the following information: 

  • Name, address, telephone number, email address;

  • Job Title (if Federal Service, provide series and grade; if not in GS plan, provide GS equivalent grade);

  • Relevant work experience—should include employer name, job title, start and end dates (month/year), the number of hours worked per week and descriptions that explain how you meet the required qualifications in the job announcement.

  • Education, certifications or licensures—If the job announcement requires any education, certifications or licensures, make sure to include the required information and any required documents like transcripts.

Your resume should contain enough information to make a valid determination that you fully meet experience requirements for each grade level you are applying to. If you do not provide enough information for us to determine your qualifications, you may be rated ineligible.

If you have volunteered your service through a National Service program (e.g., Peace Corps, Americorps), we encourage you to apply and include this experience on your resume.
The GS-13 salary range starts at $108,173 per year.  
To qualify, you must have at least one year of specialized experience equivalent to the GS-12 level or higher in the Federal service.

Specialized experience is experience providing strategic and tactical guidance related to portfolio management program areas, for real property asset management and all aspects of regional portfolio planning and metrics. This experience must include:

  • Delivering analytical assistance for data initiatives by assisting with the design and optimization of methods and tools aligned with organizational objectives;
  • Creating reports, dashboards, and data analyses that support stakeholders in decision-making processes;
  • Partnering with stakeholders and subject matter experts to help determine necessary data sources for analysis, as well as contributing to strategies for acquiring, integrating, and storing data; and
  • Translating research and analytical findings into clear, actionable recommendations while customizing communications for diverse stakeholder groups across varying technical levels.
Education:This job does not have an education qualification requirement.Employment Type: OTHER