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 bu siness 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 . PDF Executive Stakeholder Communication: Ability to translate complex data discrepancies into clear business stories for non-technical VP-level stakeholders . PDF Proactive Problem Solving: High-accountability mindset to independently perform gap analyses, audit broken systems, and execute roadmaps . PDF 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 . PDF First 60 Days: Establish automated BQ-to-GA4 variance monitoring alerts; correct Consent Mode v2 direct traffic misclassification; publish the SGTM change-management playbook . PDF 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 .