Global Pipeline Data Analyst – Insights & Integrity

NDT Global GmbH & Co.

Ciudad de México

Presencial

MXN 200.000 - 290.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Competitive Total Rewards Package
Flexible and Modern Work Environment
Career Development & Growth Opportunit
International Exposure
Long-Term Career Stability

Descripción de la vacante

NDT Global GmbH & Co. seeks a Pipeline Analyst to interpret data from MFL or UT for detecting pipeline defects under supervision. The role emphasizes data interpretation, reference point establishment, and accurate reporting.

You will work with teams across engineering and data analytics, applying attention to detail and strong Excel skills while coordinating with global colleagues on inspection technologies.

Formación

  • Must hold a university degree in Engineering or Science.
  • Strong data interpretation and reporting abilities.
  • Proficient in English (spoken and written).
  • Experience with data analysis and technical datasets is preferred.

Responsabilidades

  • Reviews and interprets data to identify features, patterns, or irregularities.
  • Recognizes key elements and ensures correct categorization and documentation.
  • Identifies installation or structural indicators based on provided information.
  • Establishes and verifies reference points to support analysis and reporting.
  • Detects changes in data and documents variations needing attention.
  • Cross-references customer maps, logs, and alignment sheets for consistency.

Conocimientos

Data interpretation
Analytical thinking
Attention to detail
Report generation
Data systems familiarity
English proficiency

Educación

Engineering or Science degree

Herramientas

Excel

Descripción del empleo

NDT Global GmbH & Co. seeks a Pipeline Analyst to interpret data from MFL or UT for detecting pipeline defects under supervision. The role emphasizes data interpretation, reference point establishment, and accurate reporting.

You will work with teams across engineering and data analytics, applying attention to detail and strong Excel skills while coordinating with global colleagues on inspection technologies.

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