Senior Analytics Engineer

Company Overview: Global Technology Services is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections offer a multitude of opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America, Philippines and the United States, contributing to cutting-edge developments in multiple industries.

Position Title: Senior Analytics Engineer

Seniority: Senior 

Location: Remote - LATAM 

Language Level: High B2/C1/Fluent English

Summary

We are is seeking a Senior Analytics Engineer to o wn our BigQuery attribution architecture, server-side GTM infrastructure, and e-commerce measurement strategy . Operating within a $80M+ e-commerce business ecosystem, this role bridges backend data pipelines with executive business strategy. You will partner directly with the Head of Analytics and the VP of E-Commerce to identify website friction points, audit broken tracking implementations, define measurement playbooks, and turn raw tracking data into actionable business strategy. Additionally, you will serve as the technical lead for our analytics layer, guiding an existing mid-level engineer and enforcing best practices across the organization.

Key Responsibilities

• E-Commerce Strategy & Business Intelligence: Analyze GA4 and BigQuery user behavior metrics to detect conversion friction points (e.g., checkout drop-offs) and present strategic recommendations to executive stakeholders.

 

 

• BigQuery Attribution Pipeline Ownership: Design, audit, and maintain the GA4 → BigQuery data model, custom channel grouping rules, sessionization logic, and automated revenue reconciliation checks.

 

 

• Server-Side GTM & Pixel Architecture: Audit and rebuild server-side GTM containers, transport URLs, event passthrough rules, Consent Mode v2 mappings, and ad vendor pixels (Meta CAPI, Google Ads, Pinterest).

 

 

• Technical Playbooks & Mentorship: Establish standardization and change-management protocols for tracking releases; mentor and guide mid-level team members on engineering standards.

 

 

• Reporting & Visualization: Build and maintain source-of-truth SQL data layers feeding Looker Studio and offline Power BI executive dashboards.

 

 

Technical Skills & Qualifications

• Data Warehousing: You must have an expert, non-negotiable proficiency in Google BigQuery, including experience with GA4 Export Schema, Arrays, Unnesting, and Sessionization.

 

 

• Tag Management: Expert-level, non-negotiable experience is required in Server-Side GTM, specifically handling SGTM Container Setup, Transport URLs, and Event Passthrough.

 

 

• Attribution & Web: You must possess an expert, non-negotiable understanding of GA4 Attribution Models, Web GTM, Event Tracking, and Channel Grouping.

 

 

• Ad Measurement: It is required to be proficient in Meta CAPI, Google Ads Enhanced Conversions, and Pinterest CAPI.

 

 

• Privacy & Compliance: You are required to have proficiency in Consent Mode v2, as well as Cookieless Pings & Direct Traffic Modeling.

 

 

• Visualization: Required proficiency in Looker Studio (with Direct BQ Connection) and Power BI.

 

 

• Data Transformation: Familiarity with Python, dbt, and SQL Automation Scripts is considered a nice-to-have.

 

 

Soft Skills & Background Experience

• E-Commerce Scale: 4-8 years in analytics engineering, with proven experience driving analytics strategy in large-scale e-commerce platforms.

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• Executive Stakeholder Communication: Ability to translate complex data discrepancies into clear business stories for non-technical VP-level stakeholders.

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• Proactive Problem Solving: High-accountability mindset to independently perform gap analyses, audit broken systems, and execute roadmaps.

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30-60-90 Day Deliverables

• First 30 Days: Complete SGTM transport URL migration and post-tracking validation; conduct a full gap analysis of broken tracking points; deliver a permanent root-cause fix for GA4 vs. BigQuery revenue discrepancies.

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• First 60 Days: Establish automated BQ-to-GA4 variance monitoring alerts; correct Consent Mode v2 direct traffic misclassification; publish the SGTM change-management playbook.

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• First 90 Days: Complete the quarterly attribution audit across paid channels; fully document the BQ data model; present conversion optimization recommendations to the VP of E-Commerce.