8 publicaciones de empleo destacadas de python en edo. de méxico (¡Están contratando!)

Data Analyst – Supply Risk & Automation
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Data Analyst – Supply Risk & Automation

Ford Motor Company -
Naucalpan, Méx.

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Información del empleo

Hace 3 días

Cualificaciones

Microsoft Excel
CSS
Ingeniería
Inglés
Ingeniería
SQL
Fusiones y adquisiciones
Licenciatura
Ingeniería industrial
Compras
Tablas dinámicas
Habilidades de comunicación
Python
Experiencia en enseñanza
MySQL
Ciencia de los datos

Descripción completa del empleo

Job ID

64289

Category

Supply Chain

Location

Naucalpan de Juárez, Mexico

Work Type

Hybrid

Data Analyst – Supply Risk & Automation

Are you a data enthusiast who loves automating repetitive tasks to save time? Do you enjoy querying databases, building reports, and translating raw numbers into actionable insights?

We are looking for a Data Analyst to join our Supply Risk team. In this role, your main superpower will be managing, extracting, and automating global supplier risk data. No previous purchasing experience is required—we will teach you the procurement context. What we need is your analytical mindset, your basic coding skills, and your comfort level working with financial and business data (no need to be a finance expert, just curious and comfortable with financial metrics!).

You will also play a key role in democratizing knowledge: helping our purchasing teams understand what the data is telling us and how to use it to protect our supply chain.

High volatile supply risk desk. Requires data management as we handle global supplier financial constraints and the impact to Ford.

Always focus on helping others and explain to democratize knowledge.

Key Responsibilities

Lead and manage Financials revisions with suppliers and/ or purchasing community
Teach purchasing community how to read Supplier´s financials and identify risks
Support obtaining purchasing answers regarding long term strategies with underperformance suppliers
Support development and implementation of supply base management strategies and action plans based on Financials performance
Support and lead compliance for on-going activities (i.e CSS update, iERP / Ariba PO´s)
Lead and Support M&A Reporting
Support N-Tier Events escalation
Support Sourcing Strategies to suppliers at a minimum financial risk level

Qualifications & Skills:

Bachelor’s degree in Industrial Engineering, Financial Engineering, Actuarial Science, Business Intelligence, Computer Science (with an interest in Finance).
Business and Information Technology for Business, Business Intelligence, Ingeniería en Ciencia de Datos
Financial Engineering / Financial Technology
2+ years of experience in data-driven roles (such as Data Analyst, Business Intelligence, or Financial/Operations Analyst) performing the following activities:
Data & Automation Mindset: Beginner-to-intermediate level in Python (specifically for data manipulation/scripting to save time) and SQL/MySQL (for querying and pulling data).
Excel Skills: Strong intermediate level (vlookups, pivot tables, data formatting).
Comfortable with Finance: You don’t need a finance degree, but you must be comfortable with financial data (revenue, debt, liquidity metrics) and eager to learn how to read supplier financial health.
Communication & Teaching Skills: A natural willingness to help others, explain technical or financial concepts simply, and share knowledge.
Quick Learner: Ability to adapt to a highly volatile global environment and learn new systems quickly.

Be proficient in English when working with global teams
HARD SKILLS:
Good team player
Excellent communication skills (written and spoken)
At least basic knowledge of Microsoft applications
Quick learner
Python (Beginner)
SQL (Beginner)
Data Analysis (Beginner)
Excel (Intermediate)
Ability to plan workload andmanage time to respond to business needs

Job Base Location - GTBC (Lomas Verdes, Naucalpan de Juarez - Estado de México)

DISCLAIMER: Ford Motor Company is an Equal Opportunity Employer, as we are committed with a diverse workforce, and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran and basis of disability.

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