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Senior Analytics Engineer (100% Remote) (LATAM Only)

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Other Skills

  • •
    Problem Reporting
  • •
    Communication

Roles & Responsibilities

  • Strong expertise in analytics engineering and dimensional data modeling (facts, dimensions, star schemas; Kimball methodology)
  • Practical experience with DBT and cloud-based data platforms (e.g., Databricks)
  • Proficient in SQL and delivering production-ready data solutions in enterprise environments
  • Ability to work independently and communicate effectively with stakeholders

Requirements:

  • Design and build scalable analytical data models to support reporting, business intelligence, and modern analytics across internal departments
  • Implement and maintain data pipelines and analytics tooling using DBT, Databricks, and other cloud platforms
  • Collaborate with stakeholders to gather requirements and translate them into production-ready data solutions
  • Ensure solutions adhere to enterprise standards, scale efficiently, and are well documented (Kimball methodology)

Job description

About AllShore Talent

AllShore Talent is a leading remote staffing company, offering top-tier professionals working 100% remote to businesses worldwide. Specializing in IT and software development, design, administrative support, digital marketing, and more. AllShore connects organizations with skilled talent to meet diverse business needs.

About The Role

Our client is expanding its modern data and analytics capabilities and is seeking a Senior Analytics Engineer with strong expertise in analytics engineering, dimensional data modeling, DBT, and cloud-based data platforms.This role is heavily focused on designing and building scalable analytical data models that support reporting, business intelligence, and modern analytics initiatives across internal departments. Candidates should have strong hands-on experience with dimensional modeling concepts such as facts, dimensions, star schemas, and Kimball methodology, along with practical experience using Databricks and cloud analytics tooling.

The ideal candidate is a strong SQL and analytics engineering professional who can work independently, communicate effectively with stakeholders, and deliver production-ready data solutions in enterprise environments.

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