Data Analyst CIGMA - CIGMA-ABC2

Purpose

The Pipeline Analyst interprets data collected from Ultrasonic Shear Wave Technology (UT) or Magnetic Flux Leakage (MFL) for the purpose of detecting pipelines defects under the constant supervision of individuals qualified for the task(s) being performed.

Role and Responsibilities

Reviews and interprets data to identify features, patterns, or irregularities following established guidelines.
Recognizes key elements within the data set and ensures they are correctly categorized and documented.
Identifies relevant installation or structural indicators based on the information provided.
Establishes and verifies reference points in the data to support accurate analysis and reporting.
Detects and documents change or variations in the data that may require attention.
Aligns and cross‑references different sources of information (e.g., customer documents, maps, logs) to ensure consistency and completeness.
Interprets location‑based information and ensures accurate entry, correction, and organization of this data in internal systems.

Qualifications and Requirements

Must hold a university degree in Engineering or Science
Proficient in English, both spoken and written
Minimum of 2 year's working experience in a technical field is preferred
Strong Excel skills and general technical aptitude.
Applicants are kindly requested to submit their full CV in English, as the hiring process is conducted by an international team. Providing a complete CV will support a thorough and accurate evaluation of your experience and qualifications.

Skillset

Strong data interpretation and analysis skills
Strong analytical thinking
High attention to detail and precision
Strong commitment to quality standards, documentation accuracy, and compliance with internal guidelines
Ability to generate clear and concise reports
Structured and organized working style.
Detail-oriented approach to data validation and reference point establishment
Ability to manage repetitive or detail‑heavy tasks with consistency and reliability
Comfortable working with digital platforms and data systems
Comfortable asking, clarifying questions and escalating uncertainties when needed
Competence in establishing and validating reference points
Capability to correlate and align customer maps, logs, and alignment sheets with collected data