Назад
Company hidden
4 дня назад

Senior Analyst, Manufacturing Finance Intelligence

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Senior Analyst, Manufacturing Finance Intelligence (Snowflake/Python): Building data pipelines, dashboards, and AI agents that automate plant cost analytics, capex tracking, production efficiency reporting, and manufacturing finance closing and forecasting with an accent on SAP/S4 data, manufacturing cost accounting, and audit-ready outputs. Focus on replacing manual Excel processes, validating pipeline results, and developing Snowflake Cortex AI workflows for close automation and variance analysis.

Location: Mexico City, Mexico — Global Capability Center, Antara Tower A, 5th Floor, Local Office

Company

Global Capability Center supporting manufacturing finance intelligence and collaboration across the manufacturing finance network.

What you will do

  • Build and maintain Snowflake pipelines ingesting SAP/S4 manufacturing and cost object data.
  • Develop dashboards for plant cost analytics, including variances, scrap, absorption, cost structure, and production efficiency.
  • Build capex tracking analytics covering project spend, budgets, depreciation forecasting, and post-investment reviews.
  • Support Snowflake Cortex AI agents for close automation, forecast pack generation, cost variance analysis, and Plant Controller requests.
  • Automate month-end close and forecasting deliverables by replacing manual Excel processes with validated pipeline outputs.
  • Perform reconciliation, data validation, root-cause analysis, and documentation for audit and finance architecture standards.

Requirements

  • 2–5 years of experience in finance, data analytics, or data engineering.
  • Knowledge of manufacturing cost accounting, including standard costing, variance analysis, absorption, and scrap.
  • Fluent SQL and Python skills with experience building data pipelines.
  • Experience with Snowflake or an equivalent cloud data platform.
  • Experience building dashboards used by business stakeholders.
  • Experience with SAP/S4 cost object data and a Bachelor’s degree in Finance, Accounting, Engineering, Computer Science, or a related field.

Nice to have

  • Experience in manufacturing finance, plant controlling, or supply chain cost management.
  • Exposure to Snowflake Cortex or LLM APIs.

Culture & Benefits

  • Work from the Mexico City Global Capability Center.
  • Collaborate with stakeholders across the manufacturing finance network, including teams in Chicago.
  • Operate with autonomy in a distributed finance intelligence team.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →