Job Description

Senior Analyst, Manufacturing Finance Intelligence at a glance... 

You will be the hands-on builder supporting the Manufacturing Finance Intelligence capability at Kraft Heinz. Reporting directly to the Senior Manager for Manufacturing Finance Intelligence, you will build and maintain the pipelines, dashboards, and AI agents that automate plant cost analytics, capex tracking, production efficiency reporting, and manufacturing finance closing and forecasting. 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 work closely with stakeholders across the manufacturing finance network. 

What’s on the menu? 

• Build and maintain Snowflake data pipelines ingesting SAP/S4 manufacturing and cost object data — production orders, cost centers, internal orders — ensuring clean, traceable, audit-ready inputs for all downstream analytics and agents 

• Develop and maintain dashboards covering plant cost analytics — cost variances, scrap, absorption, fixed vs. variable cost tracking, and production volume efficiency by plant 

• Build and maintain capex tracking analytics — project spend vs. budget, depreciation forecasting, and post-investment review automation 

• Support the build and testing of Snowflake Cortex AI agents for manufacturing finance workflows — close automation, forecast pack generation, cost variance analysis, and ad-hoc requests from Plant Controllers 

• Automate month-end close and forecast deliverables for Manufacturing Finance — replacing manual Excel processes with scheduled, validated, pipeline-driven outputs 

• 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 Manufacturing Finance Intelligence Senior Manager and peer analysts across the Supply Chain Finance Intelligence pillar to share patterns and avoid duplicating work 

Recipe for Success — apply now if this sounds like you! 

• I have 2–5 years of experience in finance, data analytics, or data engineering — with exposure to manufacturing finance, plant controlling, or supply chain cost management preferred 

• I understand manufacturing cost accounting basics — standard costing, variance analysis, absorption, scrap — well enough to validate that my outputs make sense to a Plant Controller 

• 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 cost object data — production orders, cost centers, or plant-level cost structures — in a manufacturing or finance context 

• I am comfortable working in a distributed team — my lead is in Mexico City with stakeholders in Chicago, and I can 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)

Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.