Senior Logistics Finance Analytics Engineer

Kraft Heinz

Ciudad de México

Presencial

MXN 700.000 - 1.100.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

Kraft Heinz's Global Capability Center in Mexico City seeks a Senior Analyst, Logistics Finance Intelligence to build and maintain data pipelines, dashboards, and AI agents that automate logistics cost analytics across fleet, warehouse, and transportation networks.

You will write SQL and Python, work with Snowflake and SAP/S4 logistics data, and collaborate with Finance and Supply Chain teams to accelerate month-end close and improve cost visibility.

Formación

  • Bachelor's degree in Finance, Accounting, Engineering, Computer Science, or related field is required.
  • 5+ years in finance, data analytics, or data engineering with logistics exposure preferred.
  • Proficient in SQL and Python; building pipelines beyond simple queries.
  • Experience with Snowflake or equivalent cloud platforms; familiarity with Cortex/LLMs is a plus.

Responsabilidades

  • Build and maintain Snowflake data pipelines ingesting SAP/S4 logistics and cost data.
  • Develop dashboards covering logistics cost analytics and network efficiency by lane and facility.
  • Automate month-end close and forecast deliverables with pipeline-driven outputs.
  • Validate data, diagnose discrepancies, and document data models and logic.

Conocimientos

SQL
Python
Snowflake
Data pipelines
SAP/S4
Dashboard development
Financial analytics
Communication

Educación

Bachelor's degree in Finance, Accounting, Engineering, Computer Science, or related field

Herramientas

Snowflake Cortex
LLM APIs
SAP/S4 logistics

Descripción del empleo

Kraft Heinz's Global Capability Center in Mexico City seeks a Senior Analyst, Logistics Finance Intelligence to build and maintain data pipelines, dashboards, and AI agents that automate logistics cost analytics across fleet, warehouse, and transportation networks.

You will write SQL and Python, work with Snowflake and SAP/S4 logistics data, and collaborate with Finance and Supply Chain teams to accelerate month-end close and improve cost visibility.

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