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Marketing Analytics Engineer

Job in Lehi, Utah County, Utah, 84043, USA
Listing for: Gabb Wireless
Full Time position
Listed on 2026-06-22
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, Data Science Manager
Salary/Wage Range or Industry Benchmark: 90000 - 115000 USD Yearly USD 90000.00 115000.00 YEAR
Job Description & How to Apply Below

At Gabb, we're on a mission to bring back the magic of childhood.

Think outdoor adventures and real connections! We create safe tech that lets kids be kids, even in a digital world. Why? Because families deserve to stay connected without sacrificing safety. Our team is full of optimistic folks who love a good challenge (and having fun!). Join us as we champion a fearless approach to safe tech and help build a brighter future for families everywhere.

Gabb gives families a better choice for their kids’ first technology. Our product portfolio spans purpose-built hardware — Gabb Phones and Gabb Watches — alongside digital services including Gabb Music and Music+. Everything we build is designed to let families introduce technology in steps, giving kids connection without the harms of a fully open smartphone. We’re a fast-growing, mission-driven company headquartered in Lehi, Utah, with a team that genuinely loves what we do and why we do it.

About

the Role

Gabb is looking for an analytically sharp, technically fluent Marketing Analytics Engineer to sit at the intersection of data engineering and marketing measurement. This role owns the analytics infrastructure and insight delivery for our marketing and growth teams — building in-house capability as the function scales — while also contributing to company-wide business and financial reporting.

You will report to the Director of Analytics and work closely with the marketing team, owning everything from data modeling and pipeline maintenance to interpreting A/B tests, building dashboards, and surfacing what’s actually driving growth. This is not a role where requirements get handed to you — you own marketing analytics and are expected to identify what needs to be built, prioritize it, and execute.

What

You’ll Do Analytics Engineering & Data Modeling
  • Own and extend our SQL data models (primarily dbt) for marketing and business reporting, maintaining clean, well-documented, test-covered code.
  • Work with data from connected sources (ad platforms, CRM, ecommerce, subscription systems) and model them into reliable reporting layers.
  • Build and maintain data pipelines that surface clean, trustworthy data to dashboards and downstream analyses.
  • Collaborate with the Director of Analytics on schema design, naming conventions, and modeling best practices across the full analytics stack.
  • Support general business and financial reporting alongside marketing-specific work.
Marketing Analytics & Measurement
  • Build and maintain dashboards and reports covering core marketing KPIs: site traffic, conversion rates, funnel performance, channel-level CAC, LTV, and cohort behavior.
  • Serve as the internal analytics owner for site visit and conversion reporting, A/B test analysis and interpretation, and attribution monitoring.
  • Understand and work with outputs from multi-touch attribution (MTA), media mix modeling (MMM), and incrementality testing — you know how these models work, what assumptions they make, and how to pressure-test and communicate the results.
  • Partner with the growth team to turn data into actionable recommendations, and translate technical findings for non-technical stakeholders.
  • Instrument tracking and ensure measurement infrastructure (GA4, ad platform pixels, event tracking) is accurate and well-governed.
Dashboard Design & Reporting
  • Design and build dashboards (likely in Looker, Tableau, or a similar BI tool) that are clear, reliable, and actually used by the teams they serve.
  • Establish and own reporting cadences for the marketing team; proactively identify gaps and build the infrastructure before someone has to ask for it.
  • Maintain and improve existing reporting infrastructure; deprecate what isn’t being used.
What We’re Looking For Experience & Skills
  • 2–4 years of experience in analytics engineering, marketing analytics, or a closely related data role.
  • Strong SQL skills — this is the core of the job; you’re comfortable with complex queries, window functions, CTEs, and performance considerations.
  • Hands‑on experience with dbt (or a strong willingness to learn quickly) and modern data warehouse environments (Snowflake, Big Query, Redshift, or similar).
  • Familiarity with EL tooling…
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