Global Customs Data & Reporting Analyst

Siemens Energy

Santiago de Querétaro

On-site

MXN 995,000 - 1,538,000

Full time

6 days ago
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Benefits offered by this job

Career growth
Supportive culture
Health benefits
Paid time off
Savings fund
Parental leave

Job summary

Siemens Energy seeks a Customs Quality Reporting & Data Analyst to support NA Customs operations by maintaining internal trade databases, performing data analytics, and building dashboards. You will work with SQL databases, ETL tools, and BI software to deliver accurate reports and insights.

Requirements include 3–5 years in data management and reporting, a BI/data management degree, SAP knowledge a plus, and fluency in Spanish and English. Hybrid collaboration across global teams is expected.

Qualifications

  • Bachelor's degree in BI or data management, international business, supply chain, or logistics.
  • 3–5 years of data management, reporting and analytics experience.
  • Fluent in Spanish and English; adaptable and collaborative across cultures.

Responsibilities

  • Manage Customs SQL databases; retrieve, analyze, update and create objects.
  • Prepare periodic/ad-hoc reports, KPIs and dashboards with BI software.
  • Support data automation using ETL tools and RPA; liaise with IT and global teams.
  • Document processes and applications in scope; ensure accuracy and compliance.
  • Contribute to continuous improvement of NA Customs reporting.

Skills

Data analysis
Reporting tools
Analytical software

Education

Bachelor's degree in BI/Data management

Tools

SAP
Snowflake

Job description

Siemens Energy seeks a Customs Quality Reporting & Data Analyst to support NA Customs operations by maintaining internal trade databases, performing data analytics, and building dashboards. You will work with SQL databases, ETL tools, and BI software to deliver accurate reports and insights.

Requirements include 3–5 years in data management and reporting, a BI/data management degree, SAP knowledge a plus, and fluency in Spanish and English. Hybrid collaboration across global teams is expected.

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