Digital Analytics Tag Management Engineer (Jr - Tech Documentation) - CO

Booth and Partners Pte Ltd

42d•Remote

About The Position

We help daring digital leaders optimize their business outcomes through a combination of organizational consulting and delivery services aimed at developing winning strategies that are often proven out through continuous testing & personalization. Every idea, every product, every experience -- driven by data. Imagine that. Founded in 2022 by 2x digital agency owners and former digital executives obsessed with the intersection of data, digital product, and growth. Today, we provide user experience design, product development, analytics and strategic solutions grounded in pioneering testing and personalization expertise. Our diverse roster of F500 clients has included DTC brands, Insurance, Airlines, Hotels, and Grocers. We employ a thoughtful process with decades of operational experience in digital business and analytics to help our clients make data informed decisions on how to accelerate their digital businesses. With an emphasis on simplicity of process, elegance of information design, and application of lean startup principles, we teach “middle-brained” leaders how to simultaneously be goal-oriented, problem-focused, hypothesis-led and data-driven. To have a material strategic and financial impact on our clients, we need to have an Analytics Engineering team able to consistently do the best work of their careers for each client. The environment is complex: a multi-platform stack spanning GTM, GA4 360, Quantum Metric, Dynamic Yield, performance marketing pixels, CRM tracking, server-side event pipelines, and a headless Shopify architecture. The right candidates will be technically strong, comfortable with ambiguity, and able to collaborate closely with product and engineering teams to unblock implementation and drive tracking quality at pace.

Requirements

3–5+ years of hands-on tag management in a DTC or e-commerce environment.
Strong proficiency in GTM, including implementation, governance, consent enforcement (OneTrust to GTM), hot-fix process, and tag structure best practices.
Solid experience with GA4 including custom dimension governance, event schema management, and intentional reuse of dimensions to control BigQuery event volume and downstream data quality.
Demonstrated ability to QA Meta CAPI and Google Ads event scores and understand how data layer accuracy directly impacts ad optimization.
Ability to scope tracking requirements from Figma designs into developer-ready data layer documentation, technically fluent enough to collaborate with engineers and connect to business outcomes.
Experience maintaining tracking consistency across web, native mobile app, and Shopify checkout, including sessionization, attribution, and server-side/client-side parity.
Familiarity with Shopify data layer constraints, checkout instrumentation limitations, and nuances like automated discounts, compared price fields, and Shop Pay redirect behavior.
Proven ability to work alongside engineering teams, unblock data layer implementation issues, and scope tracking tickets clearly in Jira.
Strong documentation habits with experience maintaining centralized, cross-functional tracking documentation.

Nice To Haves

Bachelor’s degree in Computer Science, Software Engineering, or a related field.
Experience with platforms like LR (Elevar) or similar for managing client/server-side sync and 200-return rate monitoring.
Experience with BigQuery event volume management and downstream pipeline health monitoring.
Familiarity with headless/server-side rendered environments and client-side event capture patterns.
Experience with native app tracking (Flutter or similar), including custom sessionization logic and web/app event parity approaches.
Interest in or experience with AI-assisted QA frameworks (e.g., Claude, ChatGPT, or Gemini) for automated assertion testing against analytics data.
Comfort working in a fast-paced, backlog-driven embedded team environment with multiple stakeholders across analytics, product, engineering, and legal.
Solid coding foundation. You can collaborate with internal and external SMEs to problem solve and create smart solutions.
Expectations Wizard. You always under-promise and over-deliver.
Agile. You have an innate ability to embrace change and quickly adapt to new situations, changes in direction and competing priorities within a results-driven environment. You know how to learn fast with the goal of operating independently without sacrificing a quality output.
Proactive. You are experienced at identifying risks & resolving issues, escalating as needed to senior leadership across an entire portfolio of client projects.
Live in the details. Solid problem-solving skills with a high attention to the little things. You bring clarity to chaos.
Are confident, yet kind and low on ego. 'Nuff said.
Wear many hats. Demonstrated ability to manage multiple, simultaneous projects and manage programs.
Well rounded. Have experience with various digital projects.
1+ years of experience working in an agency or client-facing environment.
Prior experience in DTC, fashion, or high-growth e-commerce strongly preferred.
TPM-adjacent skills: Ability to manage intake, scope tickets, and facilitate cross-functional tracking discussions without formal project management authority.

Responsibilities

Day-to-day implementation, QA, and documentation of tags across GTM, GA4, Quantum Metric, Dynamic Yield, performance marketing pixels (Meta, Google), CRM, and server-side event pipelines. Clear and manage an active backlog with a focus on speed and accuracy.
Translate new feature designs into detailed data layer specifications, defining parameters, values, and formats for developers. Own the tracking scope from Figma through to QA sign-off.
Work closely with product and engineering teams to unblock data layer implementation, reduce friction during dev cycles, and ensure tracking fires correctly across releases without breaking downstream platforms.
Support and maintain tracking consistency across web, native app (Flutter), and Shopify checkout, including custom app sessionization logic, UTM persistence, and attribution integrity.
Monitor and protect Meta and Google pixel event scores, which directly inform ad spend optimization across hundreds of millions in media budget. Prioritize critical pixel fixes above internal data issues.
Maintain client-side and server-side event sync via the LR platform, ensuring consistent 200-return rates and parity between client and server event pipelines.
Maintain DY-to-QM event piping (dyrc, dy2qm), variant tracking events, and feature flag reporting to support experimentation velocity.
Participate in monthly data audits comparing GA4 events against the source of truth. Triage breaks between GTM hot-fixes and developer ticket resolution, and document findings.
Support OneTrust → GTM consent enforcement following strict change management protocols involving security and legal stakeholders.
Contribute to an emerging agentic QA framework using AI-assisted assertion testing against BigQuery downstream data.
Join weekly refinement meetings to assess incoming epics and tickets for data tracking impact, applying domain analytics labels and scoping new tracking requirements.
Contribute to and maintain the centralized SDD, the shared source of truth across engineering, product, and analytics used to govern all tracking.