Truelogic

Hospitality Tech

SeniorDataAnalyticsEngineer

LatAm FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Analytics Engineer at Truelogic. Skills: GA4, BigQuery, Data modeling, Reporting infrastructure, Business intelligence, SQL. Spearhead the development of our core reporting infrastructure. Transform raw engagement data into high-impact business intelligence”

What You'll Achieve.

Achieve digital transformation goals; Deliver top-tier technology solutions; Drive digital disruption; Deliver results that make a difference; Foster exceptional career growth and success; Contribute to transformative projects that shape the future; Spearhead the development of our core reporting infrastructure; Transform raw engagement data into high-impact business intelligence; Build a scalable data ecosystem that supports automated client dashboards, brand campaign analytics, and multi-tier subscription reporting; Create a unified view of the consumer journey; Enhance scalability

Industry & Context.

Hospitality Tech
Problems you'll solve

Transform raw engagement data into high-impact business intelligence; Build robust models that join event data with account, venue, and subscription datasets; Integrate data from diverse sources; Translate complex analytics into actionable business insights

What They're Looking For.

Must Have

4+ years of professional experience in marketing analytics, product analytics, or analytics engineering, Expert-level proficiency with GA4, Google Tag Manager, and the Google Cloud Platform ecosystem, Advanced SQL skills, Hands-on experience modeling complex datasets within BigQuery, Proven track record building sophisticated dashboards in Looker Studio or similar BI tools, Deep understanding of event tracking, custom dimensions, conversion optimization, and UTM strategy, Demonstrated ability to define clean data taxonomies and maintain rigorous tracking documentation, Experience in data engineering tasks, specifically joining disparate data sources into reporting-ready models, Communication skills with the ability to bridge the gap between technical execution and business strategy

Nice to Have

Experience with Looker Studio Pro or white-label reporting platforms, Familiarity with automated reporting tools such as AgencyAnalytics, Databox, or DashThis, Exposure to Sanity CMS, Mailchimp, or CRM marketing automation tools, Knowledge of dbt, Fivetran, Airbyte, or ETL tools, Experience with API-based data ingestion, webhooks, or automation platforms like Make and Zapier, Background in SaaS reporting, multi-tenant analytics, or hospitality/CPG campaign reporting

What You'll Do.

Spearhead the development of our core reporting infrastructure

Transform raw engagement data into high-impact business intelligence

Build a scalable data ecosystem that supports automated client dashboards

brand campaign analytics

and multi-tier subscription reporting

Design and implement a multi-tier SaaS reporting infrastructure

Lead the GA4 and Google Tag Manager strategy

overseeing implementation

and the definition of event tracking standards

Architect and manage GA4 data exports into BigQuery

Build robust models that join event data with account

and subscription datasets

Integrate data from diverse sources including Sanity CMS

Develop reusable reporting templates and automated dashboards

Evaluate and deploy reporting automation tools

Establish data governance and access control protocols

Translate complex analytics into actionable business insights

Maintain comprehensive documentation including tracking plans

and architectural workflows

How You'll Work.

Team & Collaboration

Partner with product and engineering teams to ensure tracking requirements are seamlessly integrated into the development lifecycle; Translate complex analytics into actionable business insights for internal stakeholders, venues, and brand partners

Communication Scope

Communication skills with the ability to bridge the gap between technical execution and business strategy

Full Job Description

ABOUT TRUELOGIC At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals. Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference. By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future. OUR CLIENT A leading digital engagement and brand activation platform specializing in mobile-first hospitality and retail experiences. They provide scalable SaaS solutions that help global brands and venues bridge the gap between physical environments and digital consumer insights. JOB SUMMARY We are seeking a strategic Analytics Engineer to spearhead the development of our core reporting infrastructure and transform raw engagement data into high-impact business intelligence. This role is pivotal in building a scalable data ecosystem that supports automated client dashboards, brand campaign analytics, and multi-tier subscription reporting. The ideal candidate is a GA4 and BigQuery expert who thrives at the intersection of data modeling and product strategy, possessing the technical rigor to design complex event taxonomies and the vision to deliver seamless, automated reporting workflows for our global partners. RESPONSIBILITIES - Design and implement a multi-tier SaaS reporting infrastructure to support diverse client levels and brand campaign requirements. - Lead the GA4 and Goog

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