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Marketing Analytics EngineerGabb • Lehi, Utah, United States
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Marketing Analytics Engineer

Gabb
  • US
    Lehi, Utah, United States
  • US
    Lehi, Utah, United States
Jetzt Bewerben

Über

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. Family safety matters to us and we build products that help families introduce technology in steps.
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 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.
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, media mix modeling, and incrementality testing – knowing how these models work, their assumptions, and how to pressure‑test and communicate the results.
Partner with the growth team to turn data into actionable recommendations, translating 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 – 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, BigQuery, Redshift, or similar).
Familiarity with EL tooling and comfort working with raw source data from ad platforms, CRMs, or ecommerce systems.
Working knowledge of marketing analytics concepts: attribution models, conversion funnels, CAC/LTV, cohort analysis, A/B test interpretation, and incrementality.
Experience building dashboards in a BI tool (Looker, Tableau, Mode, Metabase, or equivalent).
Comfortable with GA4 and at least one ad platform’s data (Google Ads, Meta, etc.).
Ability to communicate analytical findings clearly to marketers and business stakeholders who don’t live in SQL.
Practical familiarity with AI‑assisted development – comfortable using AI to generate scripts, queries, and tooling while applying judgment to validate outputs.
Bonus: familiarity with Python (pandas, scripting); prior work at a direct‑to‑consumer, ecommerce, or subscription consumer brand; prior exposure to MMM or MTA modeling; experience working alongside or managing an external analytics vendor.
Who You Are
Rigorous about data quality – catching inconsistencies before they reach a dashboard and building in tests so others don’t have to.
A strong communicator who can explain what a number means and why it matters.
Highly self‑directed – defining own priorities, building the roadmap, and driving it forward; surfacing problems proactively.
Curious about marketing and business performance, not just data infrastructure.
A collaborative team player who can operate across both a technical analytics team and a business‑facing marketing team.
While we value talent from everywhere, we are currently limited to hiring employees who reside in Utah.
Benefits
Mission driven to protect kids and make a difference in the world.
Work‑life balance with generous PTO, hybrid schedules, and more.
Generously covered insurance premiums (up to 100% based on tenure).
Stock options and 401(k) plan with employer match.
Fast‑paced startup environment with room for career growth.
Energetic and collaborative company culture.
Pet insurance to keep your furry friend happy and healthy.
Get paid to give your time to the community.
Gabb is an equal opportunity employer committed to a diverse and inclusive workplace. We welcome and encourage applications from all qualified individuals, regardless of background or identity. All applicants will be considered for employment without regard to race, color, religion, sex, disability status, protected veteran status, sexual orientation, pregnancy, or any other protected characteristic.
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  • Lehi, Utah, United States

Sprachkenntnisse

  • English
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