20 publicaciones de empleo destacadas de python developer en cuajimalpa, dif (¡Están contratando!)

Data Analytics Analyst
Ford Motor Company —Naucalpan, Méx.
- Microsoft Excel
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- Microsoft Excel
- Azure
- Administración de personal
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- Azure
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- Tiempo completo
- Azure
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Data Analytics Analyst
Ford de México —Naucalpan, Méx.
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Salesforce Application Engineer
Zillow.com —Ciudad de México, CDMX
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- Java
- Experiencia en bases de datos
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- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
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- Horarios flexibles
13d
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3d

Quiero recibir la alerta de empleo más reciente para python developer en cuajimalpa, dif

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Data Analytics Analyst

Ford Motor Company -
Naucalpan, Méx.

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Información del empleo

Hace 5 días

Cualificaciones

Looker
Power BI
Microsoft Excel
Estadísticas
Informática
Experiencia en ventas
SAS
R
Análisis de negocios
Matemáticas
Google Cloud Platform
Maestría
Algoritmos
SQL
Licenciatura
Recolección de datos
Visualización de datos
Negocios
Python
Ciencia de los datos

Descripción completa del empleo

Job ID

65597

Category

Marketing & Sales

Location

Naucalpan de Juárez, Mexico

Work Type

Hybrid

Our Marketing, Sales & Service organization advances the Ford reputation as a visionary vehicle and mobility services company and helps deliver a trusted customer experience. Use your marketing, sales and service expertise to turn data-driven insights into innovative solutions that enhance sales and customer loyalty. Join us and be the eyes, ears and voice of Ford.

Are you ready to unlock the power of data to revolutionize how we support our customers and optimize our global operations? As a Data Analyst, you will work at the intersection of business strategy and advanced analytics, translating complex datasets into predictive insights and automated decision-making frameworks. Your work will directly empower leadership and cross-functional partners to make smarter, faster, and more proactive decisions that drive operational excellence and shape the future of our customer experience.

What You’ll Do:

Partner with data scientists, business owners, and database developers to formulate business problems, design analytical models, and deploy data-driven solutions.
Build, validate, and optimize predictive and statistical models to uncover trends, conduct A/B testing, and enable precise audience segmentation.
Create and publish automated reports, metrics, and visual dashboards using industry-standard tools (such as Power BI and Looker) to provide actionable insights to stakeholders.
Proactively identify, troubleshoot, and resolve data anomalies or quality issues by collaborating with technical and business platform owners.
Continuously evaluate data collection methods, reporting workflows, and delivery systems to improve efficiency, accuracy, and overall business value.
Synthesize sophisticated datasets and analytical findings into clear, compelling presentations and strategic recommendations for non-technical leadership.

You'll have...

Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, Management Information Systems, or a related quantitative field, or equivalent practical experience.

Experience: Typically 3 or more years of professional experience in data, statistical, or business analysis.

Technical Skills: Strong proficiency in SQL (writing complex queries) and programming languages like Python, R, or SAS for data manipulation and analysis.

Cloud & Visualization Tools: Hands-on experience working within cloud environments (such as Google Cloud Platform/GCP) and utilizing data visualization platforms (e.g., Power BI, Looker, Microsoft Excel).

Analytical Capabilities: Solid understanding of statistical testing methodologies, A/B testing, and managing large, complex data structures.

Even better, you may have...

Master’s degree in Data Science, Business Analytics, Statistics, or a related field.

Professional certifications in cloud data analytics (e.g., Google Cloud Certified Professional Data Engineer) or data visualization (e.g., Microsoft Certified: Power BI Data Analyst).

Experience working in large-scale, global operations, customer service, or supply chain environments.

Familiarity with machine learning algorithms and advanced predictive modeling techniques.

Ford of Mexico is committed to being an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, pregnancy, veteran status, or disability status.

Our focus is to build the best team. If you think you can bring value to Ford, love to collaborate, prioritize and aim to deliver excellence in everything you do, we encourage you to apply!

We thank all candidates for their interest, but only those selected for an interview will be contacted.

#LI-KV1

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