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Remote Entry Level Data Analyst Jobs in Seattle, WA

Fire Exams Analyst, Senior

Seattle, WA · On-site

$55.19 - $64.25/hr

Classified Civil Service, Regular, Full-Time Remote Employment: Flexible/Hybrid Job Number: 2026 ... We develop and administer merit-based entry-level and promotional exams for the Seattle Fire and ...

Analyst

Seattle, WA · Remote

$70K - $80K/yr

Analysts work as part of a remote team on challenging and high-profile projects in a collegial work ... Clean, structure, and analyze data using Excel. * Build damages models and clear visualizations in ...

Business Operations Analyst

Seattle, WA · On-site +1

$28 - $45/hr

Analyze data for anomalies, trends and opportunities for improvement. * Complete impact analyses ... McKinstry Moves onsite gyms or reimbursement for remote workers See benefit plan documents for ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Administrative Staff Analyst

Seattle, WA · On-site +1

$47.39 - $55.19/hr

Some remote work may be possible. Job Responsibilities Program support - Coordinate the development ... Research and data analysis - Coordinate overdose and substance use program measurement, evaluation ...

Showing results 21-40

Remote Entry Level Data Analyst information

See Seattle, WA salary details

$15

$37

$70

How much do remote entry level data analyst jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote entry level data analyst in Seattle, WA is $37.47, according to ZipRecruiter salary data. Most workers in this role earn between $24.09 and $41.88 per hour, depending on experience, location, and employer.

What is a remote entry level data analyst?

A Remote Entry Level Data Analyst is a professional who works from a remote location to collect, process, and analyze data to help businesses make informed decisions. They use tools like Excel, SQL, and Python to identify trends, create reports, and support decision-making. Since this is an entry-level role, it typically requires basic data analysis skills and may involve working under the guidance of experienced analysts. Strong communication and problem-solving skills are essential for translating data insights into actionable business strategies.

What does a remote entry level data analyst do?

A typical day as a Remote Entry Level Data Analyst often involves cleaning and organizing datasets, generating basic reports, and collaborating with team members through virtual meetings and communication platforms. You might use spreadsheet software or data visualization tools to identify trends and present findings to your supervisor or project stakeholders. Regular tasks also include responding to ad-hoc requests for data and assisting more senior analysts on larger projects. Since you’re working remotely, maintaining clear communication and managing your time independently are crucial for staying aligned with your team’s goals.

What are the key skills and qualifications needed to thrive as a remote entry level data analyst?

To thrive as a Remote Entry Level Data Analyst, you need a solid understanding of data analysis, basic statistics, and proficiency with spreadsheet and data visualization tools—often supported by a degree in a related field such as mathematics or computer science. Familiarity with programming languages like SQL or Python and experience using analytics platforms like Excel, Tableau, or Google Data Studio are commonly required. Strong attention to detail, effective communication, and self-motivation are key soft skills for remote collaboration and successful project delivery. These skills are essential for accurately interpreting data, sharing actionable insights, and contributing to team objectives in a distributed work environment.

How to get a job as a remote entry level data analyst with no experience?

To secure a remote entry-level data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or certifications. Create a strong resume highlighting relevant coursework, projects, or internships, and apply to entry-level roles that often value transferable skills and willingness to learn, while demonstrating your ability to work independently in a remote environment.

Is it possible to get a remote job as a remote entry level data analyst?

Yes, remote entry-level data analyst positions are available and increasingly common. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often accept candidates with relevant certifications or coursework. Many companies offer remote work options for entry-level analysts, especially in the current digital and flexible work environment.

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

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

What are popular job titles related to Remote Entry Level Data Analyst jobs in Seattle, WA?

For Remote Entry Level Data Analyst jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Remote Entry Level Data Analyst jobs in Seattle, WA look for?

The top searched job categories for Remote Entry Level Data Analyst jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Entry Level Data Analyst jobs?

Cities near Seattle, WA with the most Remote Entry Level Data Analyst job openings:

Infographic showing various Remote Entry Level Data Analyst job openings in Seattle, WA as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% Remote job distribution, with an average salary of $77,940 per year, or $37.5 per hour.

Business Intelligence & Analytics Expert - Remote

YO AI Labs

Seattle, WA • Remote

$30 - $80/hr

Full-time

Posted 8 days ago


Job description

Business Intelligence & Analytics Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Business Intelligence & Analytics Experts to evaluate and improve AI-powered analytics workflows. You will work with dashboards, reports, KPIs, data visualizations, and leading BI platforms to provide accurate, practical feedback that helps train next-generation AI systems.

Key Responsibilities
  • Review and validate dashboards, reports, KPIs, and data visualizations.
  • Build or refine dashboards using Power BI, Tableau, Looker, Qlik, Sigma, or Databricks.
  • Check data sources, calculations, metrics, and reporting logic for accuracy.
  • Evaluate KPI structures and analytical outputs for actionable business insights.
  • Test AI agents such as ChatGPT Work, Codex, and Claude Cowork in analytics workflows.
  • Identify errors, inconsistencies, and opportunities for improvement.
  • Document findings and provide structured feedback.
  • Evaluate BI integrations with tools such as Google Drive, Slack, Microsoft 365, SharePoint, and Salesforce.
Required Skills
  • Business Intelligence
  • Data Analytics
  • Power BI
  • Tableau
  • Looker
  • Qlik
  • Sigma
  • Databricks
  • MySQL
  • Data Visualization
  • Dashboard Development
  • Reporting
  • KPI Analysis
  • ChatGPT Work
  • Codex
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in BI, analytics, reporting, or data visualization.
  • Hands-on experience building or validating dashboards and analytical workflows.
  • Strong knowledge of BI tools, SQL, data sources, and KPI reporting.
  • Experience using generative AI or AI agents in professional workflows.
  • Experience integrating BI platforms with workplace and cloud-based systems.
  • Strong analytical, problem-solving, and communication skills.
  • Excellent attention to detail when reviewing data, calculations, and business metrics.