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Full Time Taxonomy Analyst Jobs (NOW HIRING)

This role is a full-time position located in our Arlington, VA office, and may require up to 10 % ... Maintain critical GTM documentation in Google Drive using a structured taxonomy to ensure the team ...

This role is a full-time position located in our Arlington, VA office, and may require up to 10 % ... Maintain critical GTM documentation in Google Drive using a structured taxonomy to ensure the team ...

Senior IT Analyst

Fort Belvoir, VA · On-site

$97K - $130K/yr

... Type Full-Time Career Level Staff Education Associate Degree Travel None Security Clearance ... taxonomy and structure of data stored within the site collection; managing SharePoint features at ...

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Full Time Taxonomy Analyst information

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How much do full time taxonomy analyst jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for full time taxonomy analyst in the United States is $31.53, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $35.82 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Taxonomy Analyst jobs? The most popular types of Taxonomy Analyst jobs are:

Marketing Technology & Media Platforms Consultant

Right Side Up

Austin, TX • On-site, Remote

Full-time

Posted 11 days ago


Job description

Please note, this posting is to highlight joining Right Side Up's talent collective specifically and is not representing an internal full-time role, or a current opportunity with a client.
Right Side Up is a collective of premium marketing talent-with all of the marketing chops, and none of the agency fluff. We're trusted by the most respected early-stage ventures, the fastest-growing tech companies, and well-established Fortune 500 teams to do one thing better: Growth. We have over 250+ clients including Stitch Fix, Sephora, Yelp, Sun Basket, Crunchbase, DoorDash, Calm, and more.
We're looking to connect with Marketing Technology & Media Platforms Consultant(s) who can help teams make their marketing systems work better together.
This work is for someone who understands how media platforms, MMPs, analytics tools, attribution systems, and data environments all connect-and how to fix things when they don't. The focus is on building cleaner data flows, stronger measurement foundations, and more scalable infrastructure across acquisition programs.
Responsibilities
  • Improve how marketing platforms, media systems, MMPs, and reporting tools connect
  • >
  • Support setup, QA, and optimization across tools like DV360, CM360, SA360, GA4, BigQuery, and MMPs
  • >
  • Help define event mapping, tracking, taxonomy, attribution setup, cost ingestion, and identity mapping
  • >
  • Troubleshoot data discrepancies across platforms, dashboards, and downstream reporting
  • >
  • Partner with media, analytics, ad operations, and engineering teams to improve system reliability
  • >
  • Identify opportunities to automate reporting, campaign operations, data movement, and optimization workflows
  • >
  • Recommend improvements that make marketing infrastructure more scalable, accurate, and usable
  • >

Qualifications
  • 5-8+ years of experience across martech, adtech, media platforms, acquisition analytics, or marketing systems
  • >
  • Deep experience with Google Marketing Platform, including DV360, CM360, SA360, GA4, and BigQuery
  • >
  • Experience working with MMPs such as AppsFlyer, Adjust, Branch, Singular, or Kochava
  • >
  • Strong understanding of mobile measurement, attribution, tracking, tagging, taxonomy, and event infrastructure
  • >
  • Working knowledge of APIs, data connectors, SQL, dashboards, and large-scale marketing data environments
  • >
  • Familiarity with SKAN, ATT, identity stitching, cost integrations, MTA, incrementality, and automation concepts
  • >
  • Ability to work cross-functionally with engineering, analytics, media, and ad operations teams
  • >
  • A systems-thinking mindset with the ability to stay strategic while getting hands-on
  • >

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.