Senior Analyst, Procurement Finance Intelligence

The Kraft Heinz Company

Xico

Presencial

MXN 480.000 - 720.000

Jornada completa

Hace 13 días

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Descripción de la vacante

The Kraft Heinz Company is seeking a Senior Analyst, Procurement Finance Intelligence based in Mexico City GCC. You will build data pipelines, dashboards, and AI agents to automate direct spend analytics across commodities, raw materials, and packaging.

You will work with Snowflake, SAP/S4 data, and Cortex AI to streamline month‑end close, forecasts, and reporting, while ensuring data quality and audit readiness within a distributed team.

Formación

  • 2–5 years in finance, data analytics, or data engineering
  • Experience with procurement, supply chain, or commodity finance preferred
  • Fluent in SQL and Python; build pipelines, not just queries

Responsabilidades

  • Build and maintain Snowflake data pipelines ingesting procurement and direct spend data
  • Develop dashboards and automated reports for direct spend analytics
  • Support Snowflake Cortex AI agents for procurement workflows
  • Automate month‑end close and forecast outputs to replace manual Excel processes
  • Document data models and pipeline logic for audit readiness

Conocimientos

SQL
Python
Snowflake
Data analytics
Procurement finance

Educación

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

Herramientas

SAP S/4 data
Snowflake Cortex

Descripción del empleo

Description
Senior Analyst, Procurement Finance Intelligence at a glance...

You will be the hands‑on builder supporting the Procurement Finance Intelligence capability at Kraft Heinz. Reporting directly to the Sr Manager Logistics Finance Intelligence, you will build and maintain the pipelines, dashboards, and AI agents that automate direct spend analytics — commodities, raw materials, and packaging. This is not a reporting analyst role. You write code, build pipelines, and ship tools that replace manual work. You are based in our Mexico Global Capability Center and are a core member of the Supply Chain Finance Intelligence team.

What’s on the menu?
  • Build and maintain Snowflake data pipelines ingesting SAP/S4 procurement and direct spend data — ensuring clean, traceable, audit‑ready inputs for all downstream analytics and agents
  • Develop and maintain dashboards and automated reports covering direct spend analytics — price variance, coverage ratios, exposure concentration, and mark‑to‑market visibility
  • Support the build and testing of Snowflake Cortex AI agents for procurement workflows — month‑end close automation, forecast pack generation, and ad‑hoc procurement finance requests
  • Automate month‑end close and forecast deliverables for Procurement Finance — replacing manual Excel processes with scheduled, validated, pipeline‑driven outputs
  • Support commodity hedge visibility reporting — build and maintain the data layer that feeds coverage ratio, open position, and threshold alert outputs for BU CFOs and Procurement leadership
  • Perform data validation, reconciliation, and root‑cause analysis when pipeline outputs don’t match expectations — you own the quality of what you build
  • Document data models, pipeline logic, and agent prompts to the standard required by internal audit and the Finance AI Architecture team
  • Collaborate closely with the Procurement Finance Intelligence Lead and peer analysts across the Supply Chain Finance Intelligence pillar to share patterns and avoid duplicating work
  • I have 2–5 years of experience in finance, data analytics, or data engineering — with exposure to procurement, supply chain, or commodity finance preferred
  • I understand basic procurement finance mechanics — price variance, coverage ratios, commodity exposure — well enough to validate that my outputs make sense
  • I write SQL and Python fluently — I build pipelines, not just queries
  • I have experience with Snowflake or an equivalent cloud data platform; exposure to Snowflake Cortex or LLM APIs is a plus
  • I build dashboards that business users actually use — not prototypes that get abandoned after the demo
  • I have worked with SAP/S4 data or understand procurement and spend data structures in an ERP environment
  • I am comfortable working in a distributed team — my lead is in a different time zone and I operate with autonomy on day‑to‑day execution
  • I have a Bachelor’s degree in Finance, Accounting, Engineering, Computer Science, or a related field
Location(s)

Mexico City, Mexico — Global Capability Center (GCC)

Location(s)

Mexico City - Antara Tower A - 5th Floor - Local Office

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