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 Location: Remote-LATAM What you will be doing: We are seeking a highly motivated Analytics Engineer to join our growing Data & Insights organization. In this role, you will partner closely with the Associate Director of Data Insights to build a curated semantic and reporting layer that serves as the trusted foundation for all business intelligence, reporting, and analytics solutions across internal teams and client-facing products. This role blends deep technical rigor with execution speed, ideal for someone who takes pride in building well-modeled, secure, and performant data foundations while also delivering analytics products that create immediate business value. You will work hands-on with modern embedded and enterprise BI tools, including Bold BI and Reveal BI, alongside cloud data platforms to deliver scalable, governed, and reusable analytics experiences. Required Skills & Experience To excel in this role, you should possess: Semantic & Reporting Layer Development: Design and maintain a curated semantic layer that standardizes business metrics, definitions, and hierarchies ensuring consistent, governed, and reusable data access across all BI and analytics consumers. Data Modeling: Build and optimize robust dimensional and analytical data models (star/snowflake schemas, aggregated layers) that support performant, scalable reporting across diverse use cases. Performance Tuning: Identify and resolve query performance bottlenecks through indexing strategies, materialized views, query optimization, caching configurations, and push-down SQL techniques. Security Implementation: Implement and enforce row-level security (RLS), role-based access control (RBAC), and data masking policies within the semantic layer and BI platforms to ensure data is accessed only by authorized users. Collaboration: Partner with Product, Data Engineering, and Client Success teams to translate business requirements into production-ready data models and analytics deliverables. Data Quality & Validation: Perform exploratory data analysis and validation to ensure accuracy, consistency, and trust in all published metrics and insights. Documentation: Document semantic layer definitions, data models, security policies, and implementation patterns to support adoption, auditability, and long-term maintainability. Dashboard & Report Development: Design and deliver dashboards, KPI scorecards, and embedded analytics using Bold BI, Reveal BI, and other enterprise BI tools, with a strong emphasis on speed to value and stakeholder adoption. Document analytics assets and implementation patterns to support adoption and maintainability. A well-structured, governed semantic layer serves as the single source of truth for all reporting and analytics consumers. Data models are clean, performant, and extensible — reducing ad hoc rework and enabling faster future delivery. Security policies are consistently enforced at the data layer, ensuring compliance and appropriate data access across user roles. Dashboards and reports built in Bold BI and Reveal BI are scalable, reusable, and trusted by stakeholders. Time-to-delivery decreases through standardization, reusable models, and template-driven builds. Soft Skills: Exceptional Communication: Articulate complex analytical insights and data- driven narratives effectively to both technical and non-technical stakeholders, including the creation of clear Standard Operating Procedures (SOPs). Proactive Ownership: Demonstrate initiative by leading the adoption of new processes and independently managing small-scale system enhancement projects from conception to completion. Analytical Problem-Solving: Employ a systematic approach to interpret data trends, troubleshoot reporting and visualization issues, and recommend pragmatic, effective process improvements. Meticulous Attention to Detail: Uphold the highest standards of data quality and report accuracy through rigorous validation and a detail-oriented approach to all deliverables. Stakeholder Engagement: Collaborate effectively with cross-functional teams, including Product and Data Engineering, to understand user pain points and translate business requirements into technical solutions. Facilitation and Mentorship: Confidently facilitate virtual training sessions and host technical office hours to support user adoption and enhance data literacy across the organization. Why you will love GTS: Join a powerful tech workforce and help us change the world through technology Professional development opportunities with international customers Collaborative work environment Career path and mentorship programs that will lead to new levels. Join Lean Tech and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will play a vital role in our continued success. Lean Tech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Apply To This Job