Data Analyst

hace 1 semana


Tijuana, Baja California, México North American Production Sharing A tiempo completo

Data analyst (Supply chain area)

Responsibilities:

  • Analyze supply chain data to identify optimization opportunities for production, supplies, and transportation.
  • Monitor and collect data on current operations, including scheduling, sourcing, warehousing, production, and delivery.
  • Gather data on each step within the supply chain and recommend changes to improve efficiency and costeffectiveness.
  • Plan and execute largescale projects to enhance supply chain operations.
  • Research partner companies and negotiate bestprice contracts to drive business revenue.
  • Investigate pain points within the supply chain process and develop solutions to resolve conflicts and inefficiencies.
  • Collaborate with vendors and carriers to secure best pricing and ensure contract compliance.
  • Create performance reports for management review.
  • Communicate with various departments to identify efficiency issues, develop solutions, and implement changes.
  • Maintain professional relationships with vendors while promoting company initiatives and values.
  • Improve and create data models for financial reporting.

Qualifications:

  • Bachelor's degree in computer science or equivalent.
  • Strong quantitative analysis skills.
  • Excellent interpersonal communication and criticalthinking skills.
  • Strong organizational abilities and problemsolving skills.

Skills:

  • Advanced SQL for data analysis (common table expressions, UDFs, stored procedures, JSON functions, window functions, etc.).
  • Expertise in data modeling (conceptual, logical, physical).
  • Proficiency in BigQuery or similar data warehousing technologies.
  • Familiarity with BI tools (Looker preferred, but any other tool is accepted).
  • Experience with ELT/ETL tools.
  • Ability to debug and troubleshoot datarelated issues.
  • Knowledge of batch and streaming processing concepts.
  • Strong proficiency in data manipulation and analysis using tools such as Excel, SQL, and Python.
  • Understanding of APIs, microservices, and message brokers.
  • English proficiency of 80% (spoken and written).

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