Senior Procurement Finance Analytics Engineer

Kraft Heinz, Inc.; Ciudad de México; Presencial; MXN 550.000 - 900.000; Jornada completa

Descripción de la vacante

Kraft Heinz, Inc. in Mexico City is seeking an experienced Senior Analyst to build and maintain data pipelines and dashboards for Procurement Finance Intelligence. You will automate workflows, support AI agents, and replace manual processes with pipeline-driven outputs.

You will collaborate with the Finance Intelligence team, work with Snowflake and SAP/S4 data, and contribute to month-end close and forecast automation while ensuring data quality across direct spend analytics.

Formación

• 2–5 years of experience in finance, data analytics, or data engineering with procurement exposure
• Fluent SQL and Python; able to build pipelines
• Experience with Snowflake or comparable cloud data platform; Snowflake Cortex a plus
• Bachelor's degree in Finance, Accounting, Engineering, CS, or related field

Responsabilidades

• Build and maintain Snowflake data pipelines ingesting SAP/S4 procurement data
• Develop dashboards and automated reports for direct spend analytics
• Support Snowflake Cortex AI agents for procurement workflows
• Automate month-end close and forecast deliverables for Procurement Finance
• Support commodity hedge visibility reporting for BU CFOs and Procurement leadership
• Validate data with root-cause analysis when pipeline outputs misalign
• Document data models, pipeline logic, and agent prompts to Audit/Finance standard

Conocimientos

SQL

Python

Data pipelines

Finance analytics

ERP data understanding

Educación

Bachelor's degree in Finance, Accounting, Engineering, CS

Herramientas

Snowflake

Snowflake Cortex

SAP/S4 data

Descripción del empleo

Kraft Heinz, Inc. in Mexico City is seeking an experienced Senior Analyst to build and maintain data pipelines and dashboards for Procurement Finance Intelligence. You will automate workflows, support AI agents, and replace manual processes with pipeline-driven outputs.

You will collaborate with the Finance Intelligence team, work with Snowflake and SAP/S4 data, and contribute to month-end close and forecast automation while ensuring data quality across direct spend analytics.