Senior Data Analytics Engineer – Hospitality Tech (DR)

Remote from: USA
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Data Science & Analytics
Employment type: Full Time,
Job posted: 14 May 2026
Apply before: 14 Jun 2026
Experience level: Senior
Views / Applies: 21 / 2

Accelerate Your Digital Transformation

Computer Software
2011

AI Summary

This role is for a Senior Data Analytics Engineer at a nearshore staff augmentation company, supporting a client in hospitality tech. The position involves building scalable reporting infrastructure using GA4, BigQuery, and Looker Studio, and integrating data from multiple sources. The ideal candidate has 4+ years of experience in analytics engineering and expert-level knowledge of GA4 and GCP. This is a fully remote role based in Latin America, focusing on data modeling, event tracking, and automated dashboards for global clients.

Job Complexity

Easy Hard

AI Insight The role requires expert-level proficiency in GA4, BigQuery, and SQL, plus experience in data engineering and cross-functional collaboration, making it challenging but not the hardest.

Salary Analysis

AI Insight The salary range is not provided, but based on US market data for a Senior Data Analytics Engineer with specialized skills in GA4 and BigQuery, the estimated median is $140,000. This is competitive for a senior role in analytics engineering, especially in a remote nearshore context.

Key Skills

GA4 BigQuery SQL Looker Studio Google Tag Manager Data Modeling Analytics Engineering SaaS Reporting Event Tracking Data Governance

Cover Letter Sample

I am writing to express my strong interest in the Senior Data Analytics Engineer position at Truelogic. With over 5 years of experience in marketing analytics and a deep expertise in GA4, BigQuery, and Looker Studio, I am confident in my ability to build the scalable reporting infrastructure your client needs.

In my previous role, I led the implementation of GA4 event tracking for a multi-brand platform, designing custom taxonomies and automating dashboards that reduced reporting time by 40%. I have extensive experience integrating data from CMS, marketing platforms, and POS systems into BigQuery to create unified consumer journey models.

I am particularly excited about the opportunity to work on a mobile-first hospitality platform and contribute to data-driven insights that enhance brand engagement. My technical skills in SQL and data modeling, combined with my ability to translate complex analytics into business strategy, align perfectly with this role.

Thank you for considering my application. I look forward to the possibility of discussing how I can add value to your team and help drive digital transformation for your clients.

Possible Interview Questions

Can you describe your experience with GA4 event tracking and how you have implemented custom taxonomies for multi-platform reporting?

In my previous role, I led the migration from Universal Analytics to GA4 for a hospitality platform. I defined a custom event taxonomy covering QR scans, lead captures, and promo engagements, using Google Tag Manager for deployment. I set up event parameters for venue IDs and campaign types, and validated data quality through debug views and BigQuery exports.

How would you design a multi-tier SaaS reporting infrastructure in BigQuery to support different client levels?

I would create a layered data model: a raw layer for ingested GA4 exports and other sources, a staging layer for cleaned and joined data, and a presentation layer with views or tables partitioned by client tier. For example, a base view with all events, then separate views for basic, premium, and enterprise clients, each with aggregated metrics and access controls via row-level security.

Describe a challenging data integration project you worked on, especially involving disparate sources like CMS and POS systems.

I integrated data from a headless CMS, Mailchimp, and a POS system into BigQuery for a retail client. The main challenge was matching customer IDs across systems. I used fuzzy matching on email addresses and timestamps, and built a mapping table. I then created a unified view of the consumer journey, from email opens to in-store purchases, enabling campaign attribution analysis.

How do you ensure data governance and access control in a reporting environment with multiple clients?

I implement row-level security in BigQuery using authorized views that filter data based on client IDs. I also use dataset-level permissions and service accounts for automated dashboards. Documentation includes a data dictionary and access control matrix. Regular audits ensure compliance.

What is your approach to automating dashboards and reports for clients, and which tools have you used?

I use Looker Studio Pro with scheduled data refreshes and parameterized reports for client-specific views. For automation, I have used AgencyAnalytics to generate monthly recaps with custom branding. I also write SQL scripts in BigQuery to pre-aggregate data for faster dashboard performance, and set up alerts for data freshness.

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 Google Tag Manager strategy, overseeing implementation, QA, and the definition of event tracking standards for QR scans, lead captures, and promo engagement.
Architect and manage GA4 data exports into BigQuery, building robust models that join event data with account, venue, and subscription datasets.
Integrate data from diverse sources including Sanity CMS, Mailchimp, SMS platforms, and POS systems to create a unified view of the consumer journey.
Develop reusable reporting templates and automated dashboards for client recaps, monthly summaries, and real-time campaign performance.
Evaluate and deploy reporting automation tools such as Looker Studio Pro, AgencyAnalytics, or Whatagraph to enhance scalability.
Establish data governance and access control protocols to ensure secure, account-specific reporting views.
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.
Maintain comprehensive documentation including tracking plans, data dictionaries, and architectural workflows.

Qualifications and Job Requirements

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 and 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.
Strong communication skills with the ability to bridge the gap between technical execution and business strategy.
Experience with Looker Studio Pro or white-label reporting platforms is preferred.
Familiarity with automated reporting tools such as AgencyAnalytics, Databox, or DashThis is a plus.
Exposure to Sanity CMS, Mailchimp, or CRM marketing automation tools is highly desirable.
Knowledge of dbt, Fivetran, Airbyte, or ETL tools is preferred.
Experience with API-based data ingestion, webhooks, or automation platforms like Make and Zapier is a plus.
Background in SaaS reporting, multi-tenant analytics, or hospitality/CPG campaign reporting is preferred.

What We Offer

100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Why You’ll Like Working Here

A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you’re working with the best in your field.

Apply now!

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