Data Scientist: SQL, Snowflake & Power BI

Caterpillar Financial Services Corporation; Ciénega de Flores; Presencial; MXN 700.000 - 1.000.000; Jornada completa

Descripción de la vacante

Caterpillar Inc. is seeking a Data Scientist to perform advanced analytics on large datasets to support data-driven decisions and strategic business development.

The role combines statistics, automation, and data engineering to uncover actionable insights and drive innovation. Responsibilities include designing data models, developing SQL queries, Snowflake integrations, and creating Power BI dashboards for timely performance reviews.

Formación

• Bachelor’s or master’s degree in applied Statistics, Data Science, Business Analytics, Computer Science, or a related field.
• Fluent English level.

Responsabilidades

• Identify and automate repetitive or manual tasks using Power Automate, Power Apps, SharePoint solutions, and SQL-based workflows.
• Design and maintain data models, SQL queries, Snowflake integrations, and standardized reporting structures that enable fast and consistent access to information.
• Develop Power BI dashboards, reports, and data visualizations to provide timely insights and support business performance reviews.
• Provide long-term ownership, maintenance, and continuous improvement of dashboards, automated solutions, data pipelines, and SharePoint applications.
• Collect, clean, mine, and process high-volume datasets to ensure reliable data foundations for analysis and decision-making.
• Define project scope and requirements with stakeholders, translating business needs into scalable digital and analytical solutions.

Conocimientos

Analytical Thinking

SQL

Python

Power BI

Educación

Bachelor’s or Master’s degree in Statistics/Data Science/Analytics/CS

Herramientas

Power Apps

Power Automate

Descripción del empleo

Caterpillar Inc. is seeking a Data Scientist to perform advanced analytics on large datasets to support data-driven decisions and strategic business development.

The role combines statistics, automation, and data engineering to uncover actionable insights and drive innovation. Responsibilities include designing data models, developing SQL queries, Snowflake integrations, and creating Power BI dashboards for timely performance reviews.