채용
Required Skills
Logistics
TMS
YMS
WMS
Excel
English
Spanish
Supply Chain Management
Job Description
Ciudad de Mexico:
- Nivel de Estudios
- Bachelor's degree in Supply Chain Management, Logistics, Information Systems, or a related field.
Experiencia Requerida
4+ years of experience
Habilidades
-
Soft Skills • Requires excellent written and oral communication skills with the ability to communicate well across all levels of the organization.
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Bilingual English-Spanish • Must have excellent customer service skills with the ability to work with both internal and external customers.
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Must be able to make decisions independently and recommend viable solutions to various problems and issues.
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Must be willing and able to learn and acquire new skills and abilities.
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A passion for innovation and continuous improvement.
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Technical Skills • Must have a Bachelor's degree in Supply Chain Management, Logistics, Information Systems, or a related field, or 4+ years of equivalent work experience.
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Knowledge of logistics and modal distribution networks (truckload, rail, and warehousing) is required.
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Proven experience in a logistics analyst role, preferably with a focus on digital solutions.
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4+ years of hands-on experience with at least several of the following systems: TMS, YMS, shipment visibility platforms, WMS, o9 Supply Planning.
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Proficiency within the Microsoft Suite (particularly Excel) is required.
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ERP/TMS experience is desirable (SAP preferred).
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Experience in business intelligence platforms, such as Tableau and Power BI.
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Knowledge of SQL and other data manipulation languages.
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Familiarity with master data management and workflow automation systems.
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Knowledge of machine learning, artificial intelligence, and blockchain in logistics management.
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Supply Chain End2End Digital Experience.
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Must have excellent quantitative and analytical skills with the ability to translate analytical skills into high-level analysis.
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Strong understanding of logistics processes and best practices.
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Experience with cloud data warehouses such as Snowflake and Datasphere.
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Basic experience in Javascript/Python frameworks and AWS cloud services.
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Experience with generative AI platforms like AWS Bedrock and foundational models prompt engineering.
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Familiarity with IoT technologies, particularly BLE tags, and their application in logistics
Resumen
This role is critical in supporting our data-driven initiatives and driving efficiencies across our logistics operations. The ideal candidate will be a problem-solver with a strong analytical mindset and a passion for leveraging technology to optimize complex logistics processes. You will play a key role in developing our data strategy, implementing and utilizing advanced logistics tools, and exploring innovative solutions using cutting-edge technologies like generative AI and IoT
Responsabilidades
1 • Contribute to the development and execution of the company's logistics data strategy.
2 • Implement and support various logistics software solutions, including Transportation Management Systems (TMS), Yard Management Systems (YMS), Shipment Visibility platforms, Warehouse Management Systems (WMS), and o9 Supply Planning.
3 • Design, develop, and maintain integrations between different logistics systems and cloud data warehouses (e.g., Snowflake, Datasphere).
4 • Develop and maintain simple applications using Javascript/Python frameworks and AWS resources.
5 • Explore and implement generative AI solutions using AWS Bedrock, including creating agents for process automation and optimization.
6 • Utilizes foundational models and prompt engineering to solve complex logistics problems and improve decision-making.
7 • Conduct research and development on real-time location systems (RTLS) using Bluetooth Low Energy (BLE) tags for tracking and managing logistics assets.
8 • Analyze logistics data to identify trends, bottlenecks, and opportunities for improvement.
9 • Collaborate with cross-functional teams (e.g., operations, IT, finance) to implement data-driven solutions.
10 • Create reports and dashboards to visualize key performance indicators (KPIs) and track progress against strategic goals.
11 • Stay up-to-date with the latest trends and technologies in digital logistics.
12 • Plan and execute training to final internal and external users digital logistics tools.
13 • Work closely with DBA, IDS and business to deliver on CBI's logistics digital journey (YMS, WMS, Load Building, etc.).
14 • Maintains database(s) of logistics information.
15 • Troubleshoots any issues with data flow in TMS/SAP, WMS, YMS, Ortec, or other digital systems and coordinate action plans with technical teams.
Location
Mexico City
Additional Locations
Job Type
Full time
Job Area Supply Chain:
Equal Opportunity:
Constellation Brands is committed to a continuing program of equal employment opportunity. All persons have equal employment opportunities with Constellation Brands, regardless of their sex, race, color, age, religion, creed, sexual orientation, national origin or citizenship, ancestry, physical or mental disability, medical condition (cancer or genetic characteristics), marital status, gender (including gender identity or gender expression), familial status, military or veteran status, genetic information, pregnancy, childbirth, breastfeeding, or related conditions (or any other group or category within the framework of the applicable discrimination laws and regulations).
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About Constellation Brands
Reviews
3.4
10 reviews
Work Life Balance
2.8
Compensation
3.5
Culture
2.9
Career
2.7
Management
2.6
45%
Recommend to a Friend
Pros
Great company culture and supportive environment
Excellent benefits and compensation
Strong leadership that cares about employees
Cons
Toxic workplace culture and micromanagement
Poor upper management and leadership issues
Frequent layoffs and job insecurity
Salary Ranges
0 data points
Senior/L5
Senior/L5 · Senior Analyst
0 reports
$105,851
total / year
Base
$98,825
Stock
-
Bonus
$7,026
$82,014
$138,165
Interview Experience
45 interviews
Difficulty
3.2
/ 5
Duration
14-28 weeks
Offer Rate
36%
Experience
Positive 66%
Neutral 24%
Negative 10%
Interview Process
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
Common Questions
Technical skills
Past experience
Team collaboration
Problem solving
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