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Remote Data Analyst Assistant Jobs in Seattle, WA

... * Assist in owning existing processes running in production, optimizing complex code through ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

LHH Recruitment Solutions is seeking a Senior Data Analyst for a remote contract opportunity supporting a growing healthcare analytics and consulting organization. This role will partner with ...

LHH Recruitment Solutions is seeking a Senior Data Analyst for a remote contract opportunity supporting a growing healthcare analytics and consulting organization. This role will partner with ...

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance Consultant to drive enterprise-level data integrity and compliance within a large-scale financial services ...

Business Operations Analyst

Seattle, WA · On-site +1

$28 - $45/hr

Support contract and spend management functions. * Assist in financial or data analysis work ... McKinstry Moves onsite gyms or reimbursement for remote workers See benefit plan documents for ...

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

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Business Systems Analyst

Seattle, WA · Remote

$90K - $110K/yr

Senior Business Systems Analyst - Data & Analytics Healthcare Payer Focus Location: Remote ... * Assist with requirements related to data availability, data quality, workflow integration ...

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual ... Data Analytics and Data Science teams to map business requirements into high-performance user ...

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

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 ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... We're currently expanding into an exciting new area - teaching AI Assistant models to be a more ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... We're currently expanding into an exciting new area - teaching AI Assistant models to be a more ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... We're currently expanding into an exciting new area - teaching AI Assistant models to be a more ...

Showing results 21-40

Remote Data Analyst Assistant information

See Seattle, WA salary details

$31.9K

$81.6K

$155.9K

How much do remote data analyst assistant jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote data analyst assistant in Seattle, WA is $81,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $95,000.00 per year, depending on experience, location, and employer.

What is a remote data analyst assistant?

A Remote Data Analyst Assistant is a professional who supports data analysts and data teams by performing tasks such as data collection, data cleaning, basic analysis, and report preparation, all while working from a remote location. They often use software tools to organize and process data, generate visualizations, and help ensure data accuracy. Their role is crucial in helping organizations make data-driven decisions efficiently, even when team members are not all in the same physical office.

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

To thrive as a Remote Data Analyst Assistant, you need a solid understanding of data analysis principles, basic statistics, and proficiency in spreadsheet software, often supported by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, Google Sheets, SQL, and visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, effective communication, and self-motivation are essential soft skills for collaborating remotely and ensuring data accuracy. These skills are vital for delivering reliable analytical support and maintaining productivity in a distributed work environment.

How does a remote data analyst assistant typically collaborate with team members and stakeholders?

As a Remote Data Analyst Assistant, collaboration is often facilitated through digital tools such as video conferencing platforms, shared project management software, and cloud-based data repositories. You’ll regularly communicate with data analysts, project managers, and sometimes clients to clarify data requirements, receive feedback, and update progress. Proactive communication and clear documentation are key to ensuring your analyses align with team objectives and timelines. While you may work independently on data preparation and basic analysis tasks, most projects involve frequent check-ins and collaborative problem-solving sessions.

What is the difference between Remote Data Analyst Assistant vs Remote Data Analyst?

AspectRemote Data Analyst AssistantRemote Data Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in data analysis, statistics, or related fields
Work EnvironmentRemote, supporting data teams with entry-level tasksRemote or on-site, performing complex data analysis and reporting
Employer & Industry UsageBusinesses, startups, and organizations needing support rolesCompanies requiring in-depth data insights and strategic analysis
Common Search & ComparisonOften searched together for entry-level roles or support positionsCompared for advanced data analysis roles or career progression

The Remote Data Analyst Assistant typically handles entry-level data support tasks with basic credentials, working in a remote environment for various organizations. In contrast, the Remote Data Analyst performs more complex analysis, often requiring higher education and experience. Both roles are common in data-driven industries, but they differ in responsibilities and skill levels.

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

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

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

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

Infographic showing various Remote Data Analyst Assistant job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $81,566 per year, or $39.2 per hour.

Data Engineer, Product Analytics

Meta

Redmond, WA • On-site, Remote

$147K/yr

Full-time

Re-posted 8 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 245 rated software companies


Job description

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities:
  • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
  • Define and manage Service Level Agreements for all data sets in allocated areas of ownership
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  • Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  • Influence product and cross-functional teams to identify data opportunities to drive impact
  • Mentor team members by giving/receiving actionable feedback

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
  • 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Preferred Qualifications:
  • Master's or Ph.D degree in a STEM field
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$147,000/year to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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