Mid Level Analytics Engineer Jobs
Mid level analytics engineer jobs go to professionals ready to own data pipelines and modeling projects end to end, drive decisions with limited oversight, and mentor junior teammates. Roles are spread across on-site, hybrid, and remote settings in Technology & Software, Consulting & Professional Services, and Construction & Real Estate, with Amazon, Decagon, and Open Exchange Labs among the employers hiring at this level now.
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Showing 5 of 43+ Mid Level Analytics Engineer jobs
Location: Remote – United States (East Coast preferred)
Employment Type: Full-Time
About the Role
VRIZE is seeking a Digital Analytics Engineer – GTM & Conversion Tracking with strong hands-on expertise in Google Tag Manager (GTM), Google Analytics 4 (GA4), ecommerce conversion tracking, Google Ads, and Meta tracking implementations. This role will focus on the technical implementation, validation, and optimization of digital analytics and conversion-tracking solutions across web and advertising platforms. The ideal candidate will have hands-on experience building data-layer and event-based tracking implementations, troubleshooting transaction-level tracking, and ensuring accurate attribution across digital marketing platforms.
Key Responsibilities
- Design and implement conversion tracking using Google Tag Manager (GTM)
- Configure and validate Google Ads Purchase Conversion tracking
- Implement Meta (Facebook) Purchase Event tracking with Advanced Matching
- Create and maintain Data Layer specifications for ecommerce events
- Configure custom event triggers and store-level tracking logic
- Validate transaction-level tracking using GTM Preview, GA4 DebugView, Google Ads Diagnostics, and Meta Events Manager
- Implement Enhanced Conversions and consent-aware tracking
- Configure transaction deduplication using unique transaction IDs
- Troubleshoot tracking discrepancies and attribution issues
- Collaborate with marketing, analytics, and web application teams to ensure tracking accuracy
- Document implementation details and validation procedures
Required Skills & Qualifications
- 3+ years of experience in Digital Analytics, Marketing Technology, or Web Analytics
- 2+ years of hands-on Google Tag Manager (GTM) implementation experience
- Strong experience with Google Analytics 4 (GA4)
- Proven experience implementing ecommerce purchase and conversion tracking
- Hands-on experience with Google Ads Conversion Tracking and Enhanced Conversions
- Experience implementing Meta Pixel and Meta Advanced Matching
- Strong knowledge of Data Layer implementation and debugging
- Experience with event-based tracking architectures
- Working knowledge of JavaScript and HTML/CSS
- Experience creating custom event triggers in GTM
- Familiarity with Regular Expressions (Regex)
- Proficiency with browser debugging tools such as Chrome DevTools
- Experience with Consent Mode v2 and Consent Management Platforms (CMP)
- Understanding of conversion attribution, marketing tag governance, and compliance
- Strong troubleshooting and validation skills
Preferred Skills
Experience with one or more of the following is a plus:
- Server-Side GTM
- Meta Conversions API (CAPI)
- Floodlight / Campaign Manager 360
- BigQuery integration with GA4
- Looker Studio reporting
- Attribution modeling
- Next.js web applications
- Yext-based location websites
- Digital marketing campaign analytics
- Restaurant, retail, or franchise analytics implementations
Why VRIZE
At VRIZE, you'll have the opportunity to work on technically complex digital analytics initiatives, collaborate across engineering, analytics, and marketing functions, and contribute directly to accurate, scalable measurement and conversion-tracking implementations.
Location: Remote – United States (East Coast preferred)
Employment Type: Full-Time
About the Role
VRIZE is seeking a Digital Analytics Engineer – GTM & Conversion Tracking with strong hands-on expertise in Google Tag Manager (GTM), Google Analytics 4 (GA4), ecommerce conversion tracking, Google Ads, and Meta tracking implementations. This role will focus on the technical implementation, validation, and optimization of digital analytics and conversion-tracking solutions across web and advertising platforms. The ideal candidate will have hands-on experience building data-layer and event-based tracking implementations, troubleshooting transaction-level tracking, and ensuring accurate attribution across digital marketing platforms.
Key Responsibilities
- Design and implement conversion tracking using Google Tag Manager (GTM)
- Configure and validate Google Ads Purchase Conversion tracking
- Implement Meta (Facebook) Purchase Event tracking with Advanced Matching
- Create and maintain Data Layer specifications for ecommerce events
- Configure custom event triggers and store-level tracking logic
- Validate transaction-level tracking using GTM Preview, GA4 DebugView, Google Ads Diagnostics, and Meta Events Manager
- Implement Enhanced Conversions and consent-aware tracking
- Configure transaction deduplication using unique transaction IDs
- Troubleshoot tracking discrepancies and attribution issues
- Collaborate with marketing, analytics, and web application teams to ensure tracking accuracy
- Document implementation details and validation procedures
Required Skills & Qualifications
- 3+ years of experience in Digital Analytics, Marketing Technology, or Web Analytics
- 2+ years of hands-on Google Tag Manager (GTM) implementation experience
- Strong experience with Google Analytics 4 (GA4)
- Proven experience implementing ecommerce purchase and conversion tracking
- Hands-on experience with Google Ads Conversion Tracking and Enhanced Conversions
- Experience implementing Meta Pixel and Meta Advanced Matching
- Strong knowledge of Data Layer implementation and debugging
- Experience with event-based tracking architectures
- Working knowledge of JavaScript and HTML/CSS
- Experience creating custom event triggers in GTM
- Familiarity with Regular Expressions (Regex)
- Proficiency with browser debugging tools such as Chrome DevTools
- Experience with Consent Mode v2 and Consent Management Platforms (CMP)
- Understanding of conversion attribution, marketing tag governance, and compliance
- Strong troubleshooting and validation skills
Preferred Skills
Experience with one or more of the following is a plus:
- Server-Side GTM
- Meta Conversions API (CAPI)
- Floodlight / Campaign Manager 360
- BigQuery integration with GA4
- Looker Studio reporting
- Attribution modeling
- Next.js web applications
- Yext-based location websites
- Digital marketing campaign analytics
- Restaurant, retail, or franchise analytics implementations
Why VRIZE
At VRIZE, you'll have the opportunity to work on technically complex digital analytics initiatives, collaborate across engineering, analytics, and marketing functions, and contribute directly to accurate, scalable measurement and conversion-tracking implementations.
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Top Industries Hiring
- Technology & Software14
- Consulting & Professional Services5
- Construction & Real Estate4
- Manufacturing3
- Science & Research3
Mid Level Analytics Engineer Jobs: Frequently Asked Questions
How do I get a mid level analytics engineer job?
Position yourself around ownership, not just execution. Highlight projects where you designed or rebuilt a data model, resolved a production issue independently, or delivered analysis that shaped a business decision. Tailor your resume to show scope, not just tasks, and be specific about the tools and frameworks you drove rather than supported. A portfolio with documented impact closes the gap between candidate and hire.
Which companies hire mid level analytics engineers?
Companies hiring mid level analytics engineers right now include Amazon, Decagon, and Open Exchange Labs, based on current listings on Migrate Mate as of September 2026. Hiring at this level covers large technology firms and data-forward enterprises that need engineers who can work autonomously across the full analytics stack.
How do I move up to a mid level analytics engineer role?
The path from entry level to mid level runs through demonstrated ownership. Early-career analytics engineers grow by taking on complete projects rather than isolated tasks, deepening proficiency in dbt, SQL, and a cloud data warehouse, and building a record of measurable outcomes. Mentorship, code review participation, and cross-functional collaboration signal readiness for the autonomy mid level roles expect.
Which industries hire the most mid level analytics engineers?
Mid Level analytics engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Construction & Real Estate, based on current listings on Migrate Mate as of September 2026. Those sectors generate large, complex data sets that require engineers who can build reliable pipelines and translate raw data into decisions without heavy day-to-day direction.