Senior Analyst - Data & Analytics

About The Role

We are looking for a Data & Analytics Senior Analyst to join our team and contribute to the development of scalable data and AI-driven analytics solutions.

This role is designed for a senior-level technical professional who combines strong data engineering capabilities with experience or interest in Generative AI, conversational analytics, and modern data platforms.

As part of a data delivery team, this role is responsible for ensuring ETL code quality by testing the data correctness, completeness and accuracy between sources and destinations.

Key Responsibilities

Data Engineering & Architecture

• Design, develop, and maintain scalable data pipelines using Databricks.
• Build and maintain data models following Medallion Architecture principles (Bronze, Silver and Gold layers).
• Perform data transformation, cleansing, standardization, and validation using tools like SQL and Python.
• Design reusable and scalable datasets to support analytics, reporting, and AI use cases.
• Troubleshoot data pipelines, data quality issues,



and performance problems.

AI & Conversational Analytics

• Participate in the design, development, and continuous improvement of Databricks Genie Spaces and AI-enabled analytics solutions.
• Translate business questions and analytical requirements into semantic models that AI tools can understand and query effectively.
• Design and execute benchmark questions and validation frameworks to evaluate the accuracy of AI-generated answers.
• Explore new Generative AI capabilities that can improve how users interact with enterprise data.

Analytics & Business Collaboration

• Work closely with business stakeholders, analysts, data engineers, and subject matter experts to translate business requirements into technical solutions.
• Perform data analysis and validation to ensure consistency between source systems, analytical datasets, and business expectations.
• Support the delivery of analytics proje

📌 Lead Coordinator (Ciudad de México)
🏢 Marsh
📍 Ciudad de México