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Part Time Tableau Jobs in Seattle, WA (NOW HIRING)

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$88

How much do part time tableau jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for part time tableau in Seattle, WA is $64.00, according to ZipRecruiter salary data. Most workers in this role earn between $52.79 and $75.48 per hour, depending on experience, location, and employer.

What is a part time Tableau?

A Part Time Tableau job involves working with Tableau, a data visualization tool, on a flexible or reduced schedule. Responsibilities often include creating dashboards, analyzing data, and generating reports to support business decisions. These roles may be remote or on-site and are common in industries like finance, healthcare, and marketing. Part-time Tableau professionals typically need experience in data analysis, SQL, and Tableau software.

What are the typical responsibilities of a part time Tableau, and how does the position contribute to the overall team?

In a Part Time Tableau role, your main responsibilities usually include creating interactive dashboards, analyzing data sets, and supporting teams by translating raw data into meaningful insights. You may be tasked with designing reports for different departments, responding to ad hoc data requests, and maintaining data quality within Tableau. As a part-time contributor, you often collaborate with analysts, business managers, and IT professionals to ensure information is easy to access and understand. Your work directly supports decision-making processes by providing clear and accurate data visualizations tailored to organizational needs.

What are the key skills and qualifications needed to thrive in the part time Tableau position, and why are they important?

To excel as a Part Time Tableau professional, you should have strong analytical skills, proficiency in data visualization, and a solid understanding of databases, often backed by experience or certification in Tableau. Familiarity with SQL, Excel, and Tableau Server or Tableau Online is commonly expected, as these tools are essential for managing and presenting data effectively. Strong attention to detail, clear communication, and the ability to interpret complex data sets help you stand out in this position. These skills ensure that actionable insights are delivered efficiently to stakeholders, even within a part-time work schedule.

What are the most commonly searched types of Tableau jobs in Seattle, WA?

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

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Part Time Tableau jobs near you
Infographic showing various Part Time Tableau job openings in Seattle, WA as of August 2026, with employment types broken down into 2% Internship, 89% Full Time, 5% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $133,126 per year, or $64 per hour.

Data Migration & Power BI Consultant

Saltchuk Marine

Seattle, WA • On-site

$45 - $55/hr

Full-time, Part-time, Temporary

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago

Key responsibilities

  • Extract, cleanse, and migrate data across legacy and target systems, ensuring accuracy and integrity throughout the migration lifecycle

  • Build and maintain Power BI dashboards and data visualizations for various business stakeholders

  • Collaborate with cross-functional stakeholders to gather requirements and confirm reconciliation results are understood and accepted by business owners

Job description

Saltchuk Marine is looking for an experienced Data Migration & BI Consultant to support our Business Development & Continuous Improvement teams through a critical data infrastructure and systems migration effort. This is a hands-on contract role for someone who can independently extract, cleanse, transform, and migrate data across multiple source systems while also building and maintaining reporting and analytics.
This is a part-time temporary position, working up to 20 hours per week, with an anticipated duration of six months.
What you'll do:
  • Extract, cleanse, and migrate data across legacy and target systems (ERP, CRM, and other operational data sources), ensuring accuracy and integrity throughout the migration lifecycle
  • Write and optimize SQL for data extraction, transformation, and validation against complex datasets. Building in repeatable validation queries/checks
  • Reconcile migrated data against source-of-truth records (row counts, control totals, key balances, master data), identify and resolve discrepancies, and formally sign off on data accuracy before go-live milestones
  • Document data validation and reconciliation processes thoroughly. Including source-to-target mappings, transformation logic, validation criteria, known exceptions, and sign-off records so the process is auditable and repeatable by others
  • Design, build, and maintain ETL/ELT pipelines to move and transform data between source systems, staging environments, and reporting layers
  • Build and maintain Power BI dashboards and data visualizations (DAX, Power Query/M) for Financial Analysts, Operations, and other business stakeholders
  • Collaborate with cross functional stakeholders to gather requirements and confirm reconciliation results are understood and accepted by business owners
  • Identify and implement process improvements within the data pipeline and Shared Services data workflows
  • Use Python for scripting, automation, and data processing tasks as needed (pandas, API integrations, etc.)

Qualifications:
  • Demonstrated experience building validation and reconciliation frameworks a
  • Strong SQL skills, comfortable writing complex queries for extraction, transformation, and validation against large, messy datasets
  • Proficiency with Power BI (DAX, Power Query) or equivalent BI tooling (Tableau)
  • Working knowledge of Python for data processing/automation
  • Solid understanding of data modeling and database design principles
  • Strong written documentation skills; able to produce clear, detailed records of data lineage, transformation logic, validation methodology, and reconciliation results that a third party could follow
  • Attention to detail and personal ownership of data accuracy end to end
  • Excellent communication and teamwork skills

Preferred:
  • 2+ years of hands-on experience with data extraction, cleansing, migration, and reconciliation (ERP/CRM migrations a strong plus)
  • Experience with ERP systems migrations (e.g., SAP to NetSuite or similar)
  • Experience with API based data integrations
  • Familiarity with cloud platforms (AWS, Azure (Fabric, Onelake), Snowflake)
  • Experience with source system reconciliation (open balances, GL data, master data cleanup)
  • Comfortable with fundamental accounting concepts (trial balance, income summary) and general financial/business literacy

Compensation: Pay for this position will be between $45 and $55 hourly.
Benefits:
  • The benefit program includes medical, dental, and vision coverage for you and your family.
  • Life insurance equal to two times annual base salary.
  • Accidental death and dismemberment insurance. Long term disability insurance.
  • 401k program with a 4% match, vested immediately.
  • Employee Assistance Program.
  • Flexible Spending Accounts.
  • Business travel assistance program.
  • Other voluntary benefits are available for purchase via payroll deduction at group rates.
  • Fully paid ORCA transportation card.
  • Tuition reimbursement.
  • All other benefits as required by law

How to Apply: Ready to set sail with Saltchuk Marine? Submit your application via our careers page. If you need any assistance please reach out to hr@saltchukmarine.com. We look forward to welcoming you aboard.
Drug Free Workplace: Saltchuk Marine is a Drug Free Workplace where post offer applicants and employees are subject to testing for cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Equal Opportunity Employer: Saltchuk Marine is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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