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Part Time Weekend Data Analyst Jobs in Seattle, WA

Data Governance Lead

Seattle, WA · On-site

$90 - $120/hr

Based; must be willing and able to work onsite in Washington State as required Schedule: Part-Time, ... data analysis, data management, system maintenance, troubleshooting, or enterprise data ...

Based; must be willing and able to work onsite in Washington State as required Schedule: Part-Time, ... data analysis, data management, system maintenance, troubleshooting, or enterprise data ...

Utilize big data analytics and advanced data science techniques toidentifytrends, patterns, and ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Utilize big data analytics and advanced data science techniques toidentifytrends, patterns, and ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Weekend Receptionist

Seattle, WA · On-site

$21.30 - $23.30/hr

Era Living is seeking a part-time Receptionist to become the newest member of our Administration ... Data entry and accuracy skills * Ability to read, write and communicate in English * Ability to ...

Functional Analyst II

Seattle, WA · On-site

$45.91 - $58.19/hr

Z3 : KC Personnel Guidelines Full- or Part-Time: Full Time Hours/Week: 40 hours/week Summary The ... They will use their love of data, strong attention to detail, analytical mindset, and creative ...

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Showing results 21-40

Part Time Weekend Data Analyst information

See Seattle, WA salary details

$38.7K

$94K

$154.8K

How much do part time weekend data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for part time 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 a part time weekend data analyst?

Part time weekend data analysts are professionals who work with data to help organizations make informed decisions, but their work schedule is limited to weekends and often on a part-time basis. They collect, process, and analyze data using statistical tools and software, then present their findings to guide business strategies. This role is ideal for those who need flexibility or want to supplement their income, as it allows for work outside traditional weekday hours. Key responsibilities include data cleaning, report generation, and supporting data-driven decision-making. Employers often seek candidates with strong analytical skills, proficiency in tools like Excel or SQL, and the ability to communicate insights clearly.

What are the key skills and qualifications needed to thrive as a part time weekend data analyst, and why are they important?

To thrive as a Part Time Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software (Excel), and programming languages such as SQL or Python is typically required. Attention to detail, effective communication, and time management are vital soft skills, especially for independently handling weekend projects. These skills enable accurate data-driven insights, efficient reporting, and timely decision-making even with limited weekday collaboration.

What are some common challenges faced by part time weekend data analysts, and how can they be addressed?

Part-time weekend data analysts often face challenges such as limited access to team members who work standard weekday hours and tighter deadlines due to condensed work schedules. To address these, it's helpful to establish clear communication channels with colleagues and supervisors, proactively clarify expectations, and use collaborative tools that allow for asynchronous updates. Additionally, effective time management and setting priorities are essential to ensure that data analysis tasks are completed accurately and on time. Seeking feedback during available hours and documenting work thoroughly can further help maintain workflow continuity.

Is it still worth it to become a part time weekend data analyst in 2026?

Part time weekend data analyst roles can still be valuable in 2026, especially for gaining experience with data analysis tools like Excel, SQL, or Python. These positions often offer flexible schedules and can serve as stepping stones to full-time roles or specialized skills in data management and reporting.

What are the most commonly searched types of Weekend Data Analyst jobs in Seattle, WA?

The most popular types of Weekend Data Analyst jobs in Seattle, WA are:

What are popular job titles related to Part Time Weekend Data Analyst jobs in Seattle, WA?

For Part Time Weekend Data Analyst jobs in Seattle, WA, the most frequently searched job titles are:

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

The top searched job categories for Part Time Weekend Data Analyst jobs in Seattle, WA are:

Data Governance Lead

REV LLC

Seattle, WA • On-site

$90 - $120/hr

Part-time

Posted 12 days ago


Job description

Contract Type: 1099 Independent Contractor (Individual Consultant Only) | C2C: Not Accepted
Location: Remote, U.S. Based; must be willing and able to work onsite in Washington State as required
Schedule: Part-Time, approximately 20 hours/week
Compensation: $90-$120/hour, depending on experience and relevant certifications
Position Overview
REV is seeking an experienced Data Governance Lead to establish and operationalize enterprise data governance practices for a large-scale technology modernization initiative.
The consultant will establish governance frameworks, stewardship models, data quality standards, metadata practices, decision-making structures, and compliance processes while ensuring data is treated as a trusted enterprise asset.
Responsibilities
  • Define and operationalize an enterprise Data Governance Framework.
  • Establish data stewardship models, governance committees, decision rights, and escalation processes.
  • Define standards for data naming, metadata, classification, quality, ownership, and appropriate data use.
  • Establish clear accountability for major enterprise data domains.
  • Ensure governance practices align with applicable regulatory, privacy, security, and enterprise requirements.
  • Collaborate with cybersecurity teams to embed privacy, access controls, and risk mitigation into governance practices.
  • Define data quality rules, scorecards, measurements, and improvement workflows.
  • Establish metadata management and data lineage practices.
  • Support development and maintenance of enterprise metadata repositories.
  • Facilitate communication among technical teams, business stakeholders, vendors, and leadership.
  • Support audit preparation, reporting, compliance activities, and oversight communications.
  • Establish governance documentation and lifecycle-management standards.
  • Lead data governance training, education, and mentorship.
  • Support Master Data Management, survivorship rules, harmonization logic, and authoritative sources of truth.
  • Identify data governance gaps, risks, ownership issues, and quality concerns.
  • Participate in architecture and data design reviews.
  • Provide recommendations to leadership regarding data policies, standards, governance maturity, and risk.
  • Support development of data-related KPIs and performance measures.
  • Required Qualifications
  • Bachelor's degree is required.
  • Bachelor's degree must include at least 12 semester hours or 18 quarter hours of computer science coursework.
  • Candidate must be able to provide documentation verifying the degree and specific computer science coursework completed if requested.
  • 7+ years of professional IT experience involving IT analysis, data analysis, data management, system maintenance, troubleshooting, or enterprise data environments.
  • 5+ years of hands-on Data Governance, Data Management, Data Architecture, or comparable data leadership experience.
  • Demonstrated experience establishing or operationalizing enterprise data governance frameworks.
  • Experience with data stewardship, ownership, custodianship, accountability, and governance decision-making.
  • Strong experience with metadata management, data lineage, data quality, and data standards.
  • Experience with Master Data Management and reference data concepts.
  • Experience with data integration, migration, profiling, mapping, cleansing, transformation, validation, and reconciliation.
  • Experience with SQL, NoSQL, and cloud data technologies.
  • Understanding of APIs, ETL/ELT, messaging, event-driven pipelines, and service-oriented architectures.
  • Experience with Azure, AWS, and/or GCP.
  • Understanding of privacy regulations, security controls, data classification, access controls, encryption, and Zero Trust principles.
  • Strong understanding of the full data lifecycle, including ingestion, storage, transformation, consumption, archival, retention, and destruction.
  • Excellent communication and stakeholder-management skills.
  • Demonstrated ability to communicate complex data governance concepts to executive, business, and technical audiences.
  • Must be comfortable working as an individual 1099 Independent Contractor.
  • Must be willing and able to work onsite in Washington State as required.
  • Must be able to complete required background screening, security training, confidentiality requirements, and system-access requirements.
Preferred Certifications:
One or two relevant current certifications are preferred and may be considered when determining compensation within the posted range:
  • Certified Data Management Professional (CDMP)
  • Microsoft Certified: Azure Data Engineer Associate
  • Snowflake certification
  • Google Cloud Professional Data Engineer
  • Other current data governance or data management certifications may be considered.
  • Preferred Experience
  • Enterprise-wide data governance implementations.
  • Public-sector or regulated environments.
  • Enterprise Master Data Management programs.
  • Metadata and data quality tooling.
  • Large-scale modernization programs.
  • Establishing data stewardship organizations.
  • Developing enterprise data policies and standards.
  • Working with sensitive or regulated data.
Engagement Requirements
This is a part-time, approximately 20-hour-per-week 1099 Independent Contractor engagement.
The engagement is primarily remote; however, the consultant must be willing and able to report onsite in Washington State when required by the client/program.
C2C submissions will not be accepted. This opportunity is for individual independent contractors only.
Equal Opportunity Employer Statement
REV is an Equal Opportunity Employer. We are committed to providing equal employment and contracting opportunities to all qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status.