PIPECARE Egyptis currently looking forData Analystto join our office in Suez, Egypt.
The responsibility of the Data Analyst is to ensure that all tasks and projects related to his/her local subsidiary are executed according to the plan, corporate standards and policy approved by the Corporate Office.
Key Responsibilities & Authorities
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o Checking and approving the tool performance during the PTT.
o Checking the data quality of ILI runs.
o Caliper Data Analysis.
o MFL Data Analysis.
o TFI Data Analysis.
o Checking and implementing dig verification tasks at sites and preparing relevant reports.
o Reviewing the software inter phase.
o Reviewing software user manuals.
o Preparing/Reviewing DAD quality documentation.
o To ensure accurate tool sensitivity values are provided to TM in Tool Checklist.
o To prepare a specific Run assessment report.
o To identify obstructions in the pipeline; to produce technically valid Preliminary / Final report (if applicable).
o To produce technically valid Preliminary / Final report.
o To inform HO-DAD about the results and/or to implement the results into the reports.
o To ensure that the coordinates are synchronized with the data.
o To alert the R&D regarding the software problems.
o To update the documentation.
o To produce updated standard quality procedures.
o To alert the DA Team Leader / DA Manager regarding the software problems.
o Execute all other tasks as requested by DA Team Leader or DA Manager and/or Executive Team within the assigned job role.
Skills/Experience required.
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o Bachelor’s degree in engineering/technology, OR related degree (preferred but not limited to GIS Field, petrochemical background, pipeline integrity).
o Database development and implementation experience.
o Process analysis, requirement / functional specification development experience.
o Quality assurance of databases, reporting experience.
o Experience of working on large, complex, and multiple databases.
o Proficient in using analytical tools and instruments for instance Excel, Microsoft Access, Minitab, and SPSS.
o High ability to work with numbers.
o Strong written and verbal communication skills.
o Analytical mind which can process information logically.
o Professional level of English language.
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