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Entry-level data analyst trainee in a metro with a generalist title attracts large applicant pools.
Core Python/SQL/BI skills are transferable, though oil & gas and SAP context add moderate specialization.
Mandatory Python, SQL, BI and SAP-related skills but no strict years requirement.
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Maintain data quality by reviewing, profiling, and cleansing large technical asset datasets from APM systems.
Analyze and standardize unstructured text fields using rule-based or NLP techniques for SAP system integration.
Assist in data migration planning, enactment, verification, and collaborate with SMEs to map source-to-target data.
Bachelor’s degree in Computer Science, Mechanical Engineering, IT, or related field (Recent Graduate).
Proficiency in Python, SQL, and Excel for data extraction and pipeline building.
Experience with BI tools such as Tableau, Power BI, or Spotfire.
Work Experience Required: Not explicitly mentioned in the JD; suitable for recent graduates.
Operates effectively with large technical datasets and understands enterprise data systems.
Comfortable working with data migration processes and cross-functional collaboration.
Has foundational knowledge or keen interest in oil & gas engineering concepts relevant to data.