FP&A & Commercial Intelligence Analyst — Snowflake & AI

Kraft Heinz; Ciudad de México; Presencial; MXN 420.000 - 660.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical coverage

Dental coverage

Vision coverage

401(k) matching

BRGs

Descripción de la vacante

Kraft Heinz is seeking an Analyst for FP&A & Commercial Finance Intelligence (GCC) based in Mexico City. You will build data pipelines, maintain dashboards, and support AI-driven outputs across FP&A and Commercial Finance, collaborating with cross-functional teams in a distributed setup.

The role requires 2–5 years in FP&A or data analytics, SQL and Python skills, and experience with Snowflake and Power BI. Bachelor’s degree in a related field is expected.

Formación

• 2–5 years of FP&A, commercial finance, or data analytics.
• Proficient in SQL and Python for pipelines and transformations.
• Experience with Snowflake or similar cloud data platform.
• Experience building Power BI dashboards for finance professionals.
• Bachelor's degree in Finance, Accounting, Engineering, CS, or related field.
• Ability to work in a distributed team across Chicago and Amsterdam.
• Strong communication and proactive update habits.

Responsabilidades

• Build and maintain Snowflake data pipelines for FP&A and Commercial Finance.
• Develop and maintain Power BI dashboards for variance analysis and P&L summaries.
• Support month-end close and forecast cycles with automated outputs.
• Validate AI agent outputs against source data and document tests.
• Perform data validation, reconciliation, and root-cause analysis.
• Provide ad-hoc analytical support to Leads.
• Maintain documentation for data models and dashboards.

Conocimientos

SQL

Python

Power BI

Snowflake

Variance analysis

Educación

Bachelor's degree in Finance

Herramientas

SQL

Python

Power BI

Snowflake

Descripción del empleo

Kraft Heinz is seeking an Analyst for FP&A & Commercial Finance Intelligence (GCC) based in Mexico City. You will build data pipelines, maintain dashboards, and support AI-driven outputs across FP&A and Commercial Finance, collaborating with cross-functional teams in a distributed setup.

The role requires 2–5 years in FP&A or data analytics, SQL and Python skills, and experience with Snowflake and Power BI. Bachelor’s degree in a related field is expected.