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Strong employer brand, mid-level experience band, metro location, and a common data analyst title increase competition.
Role requires specialized engineering data knowledge (PIDs, asset registers, Digital Twin), limiting cross-industry transferability.
Role requires specific engineering data/IM domain knowledge and governance experience, but no strict mandatory years listed.
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Ensure accuracy, completeness, and alignment of engineering and operational data across Information Management systems with focus on Digital Twin enablement.
Perform detailed data comparisons, identify data gaps impacting Digital Twin reliability, and lead or support data gap resolution activities.
Collaborate with cross-functional teams to support data governance, improve data quality, and enable effective decision making across asset lifecycle.
Bachelor’s degree in Information Systems, Engineering, Data Analytics, Computer Science, or related field, or equivalent experience.
Experience performing engineering/equipment data analysis, data comparison or data quality assessments across multiple systems.
Experience in engineering, operations, or capital project environments.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in working with Digital Twin platforms or asset data environments (preferably 5+ years).
Strong analytical skills with ability to identify data patterns, gaps, and root causes in complex datasets.
Familiarity with data governance, metadata standards, information lifecycle management, and data analysis tools (e.g., Excel, SQL).