Analytics Engineer
Summary
Builds and maintains cloud data warehouses and pipelines using SQL, dbt, and Snowflake/BigQuery to deliver clean, reliable datasets for business analytics and reporting.
Overview
Analytics Engineer
📍 Colombia | Remote | Indefinite term contractAbout the Role
The Analytics Engineer provides clean data sets and models data in a way that enables analysis to drive key business insights. In this role, you'll partner with business users to answer critical questions through data-driven analysis, while leveraging a solid understanding of data infrastructure and tooling to monitor and maintain data pipelines and develop reliable data transformations.Your Role Responsibilities — Here's What You'll Do
- Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models while considering performance, cost, and security constraints
- Model, design, develop, test, and implement backend and front-end structures needed to meet business visualization and reporting requirements
- Configure SaaS tools — including ELT providers, integration platforms, and orchestration tools — to build a modern cloud data warehouse that is accurate, reliable, high-performing, and accessible across business departments
- Provide day-to-day support of the data warehouse and associated data marts, including establishing trusted data sets with clear, supporting documentation
- Coordinate with platform data engineering, data analyst, data governance, and IT teams to align with change management processes and ensure optimal performance and access for global reporting solutions
- Improve data flow and quality processes to enhance data accuracy, viability, and value — including testing data transformations to ensure correspondence to defined tasks
Role Essentials — What You'll Bring
- Bachelor's degree or equivalent experience
- Extensive experience working as part of a data team, preferably as a data engineer or data analyst
- Strong SQL skills and hands-on data transformation expertise
- Proven experience with cloud data warehouses (Snowflake, BigQuery, Redshift) and cloud platforms (AWS, Azure, GCP)
- Hands-on experience with modern BI tools such as Looker, Mode, Tableau, or Power BI
What We'd Like to See
- Experience with data modeling tools such as Dataform or dbt for data transformation workflows
- Demonstrated proficiency in data system design including databases, schemas, marts, aggregates, and views
- Experience in one or more major data subject areas (Product, Marketing, Sales, Finance, People, etc.)
- Strong project management and organizational skills with the ability to drive initiatives to completion with minimal oversight
- Ability to apply original thinking to translate business goals into innovative, scalable data solutions
Technology Tools
- Cloud Platforms: AWS, Azure, GCP
- Cloud Data Warehouses: Snowflake, BigQuery, Redshift
- BI Tools: Looker, Mode, Tableau, Power BI
- Data Modeling Tools: Dataform, dbt
- Other: SQL, Microsoft Excel, Microsoft Office