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Remote Taxonomy Analyst Jobs in Seattle, WA (NOW HIRING)

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

MLOpsfamiliarity supporting operationalized analytics and models * Semantic modeling skills (business definitions, metrics, ontology/taxonomy/domain models) * Business definition standardization for ...

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

MLOpsfamiliarity supporting operationalized analytics and models * Semantic modeling skills (business definitions, metrics, ontology/taxonomy/domain models) * Business definition standardization for ...

eCommerce Channel Manager

WA · Remote

$90K - $120K/yr

This position is based Remote from Home. Key Responsibilities Performance & Analytics * Build e ... Maintain variation structures, taxonomy alignment and product discoverability improvements. Content ...

Remote Taxonomy Analyst information

See Seattle, WA salary details

$35.3K

$83.4K

$147.9K

How much do remote taxonomy analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote taxonomy analyst in Seattle, WA is $83,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $99,000.00 per year, depending on experience, location, and employer.

What is a remote taxonomy analyst?

A Remote Taxonomy Analyst is a professional who classifies and organizes data, content, or products into structured categories, often working from a remote location. They design and maintain taxonomies, ontologies, or metadata frameworks to improve information retrieval, navigation, and search functionality for organizations. Remote Taxonomy Analysts collaborate with content creators, data managers, and IT teams to ensure consistency and accuracy in classification systems across digital platforms. Their work is crucial for businesses that manage large volumes of information and want to enhance user experience and data discoverability.

What skills and qualifications are needed to thrive as a remote taxonomy analyst?

To thrive as a Remote Taxonomy Analyst, you need a strong understanding of information architecture, metadata management, and classification systems, typically supported by a background in library science, data management, or a related field. Familiarity with taxonomy management tools, content management systems (CMS), and data modeling software is often required. Strong analytical thinking, attention to detail, and effective remote communication are essential soft skills for excelling in this role. These skills are important because they ensure accurate organization, retrieval, and consistency of information across digital platforms, directly impacting user experience and data integrity.

How does a remote taxonomy analyst collaborate with cross-functional teams, and what tools are commonly used?

As a Remote Taxonomy Analyst, you’ll frequently work with product managers, content strategists, developers, and UX designers to ensure accurate organization and categorization of data or content. Collaboration is often conducted through virtual meetings, shared documentation, and project management platforms. Common tools include Slack or Microsoft Teams for messaging, Zoom for video calls, and platforms like Jira or Trello for project tracking. Effective communication and clear documentation are crucial to ensure alignment across distributed teams.

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

AspectRemote Taxonomy AnalystRemote Data Analyst
Required CredentialsBachelor's in Information Science, Library Science, or related field; familiarity with taxonomy and classification systemsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentCollaborates with content teams, often in tech or publishing industries, focusing on organizing informationWorks with large datasets across various industries, focusing on data interpretation and reporting
Employer & Industry UsageUsed in tech, publishing, e-commerce for content organizationCommon in finance, healthcare, marketing for data-driven decision making

The Remote Taxonomy Analyst primarily focuses on organizing and classifying information using taxonomies, often within content-rich industries. In contrast, the Remote Data Analyst interprets data sets to inform business decisions. While both roles require analytical skills, their focus areas and tools differ significantly.

What are popular job titles related to Remote Taxonomy Analyst jobs in Seattle, WA?

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

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

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

Senior Analytics Engineer (Mandarin Speaker)

Career Renew

Seattle, WA • Remote

$150K - $250K/yr

Full-time

Re-posted 16 days ago


Job description

Career Renew is recruiting for one of its clients a Senior Analytics Engineer (Mandarin Speaker) - this is a fully remote role for US-based candidates. Salary range: 150-250K USD base plus benefits plus equity.
We are building the TikTok of interactive mini-apps — a consumer social platform where users scroll a feed of playable experiences and create their own simply by describing what they want. Our AI-powered creation flow turns natural language into shareable, interactive content. Backed by a16z, Mayfield, and Khosla, founded in 2024, and already at 1M+ MAUs.

We are looking for a Senior Analytics Engineer with 4+ years of experience to build the data modeling and analytics layer from the ground up at a fast-growing consumer social platform. This is a founding role – you'll own the transformation layer that turns raw product events, backend logs, and operational data into clean, reliable datasets powering product analytics, experimentation, growth insights, and company-wide metrics. You'll work closely with product, engineering, growth, and leadership to define how the company understands user behavior, content performance, and retention. This is ideal for someone who thrives in ambiguity, loves building practical v1s quickly, and wants outsized ownership at an early-stage company.

What you will be doing

  • Designing and maintaining core analytics data models that transform raw events and logs into clean, trusted, analysis-ready tables

  • Defining and operationalizing company-wide metrics – DAU, retention, creator supply, content engagement, funnel conversion, and growth efficiency

  • Building dashboards and self-serve data products that help teams track product performance and diagnose issues quickly

  • Partnering with product and engineering to improve event taxonomy, instrumentation quality, and data consistency across app, web, and backend

  • Establishing data quality standards, testing, documentation, and freshness checks so the team can trust the numbers

Requirements:
4 - 10 years of experience in analytics engineering or data engineering (Mandatory)
Built data models from raw events at a VC-backed startup or reputable consumer company (e.g., TikTok, Instagram, Snap) (Mandatory)
Experience at a consumer social, gaming, or creator platform (Nice-to-have)
Built analytics engineering function at early-stage startup (Nice-to-have)
Advanced SQL proficiency for designing reusable canonical data models (Mandatory)
Experience with BigQuery, Snowflake, or similar modern warehouses (Mandatory)