Data Analyst

• Process and integrate Data into the Data storage solution that will be deployed by the program team
• Work with the Inmation Use cases Product Owner to define needed Data for the use cases
• Use Inmation Data Studio to implement Data models adapted to the use cases and implement visualization Dashboard with Web Studio for data use
• Identify whether Data are properly collected for use cases and if there is no missing data, and globally ensure that a data quality approach is set
• Participate in defining the evolution roadmap of the Inmation Industrial Data Fabric solution.
• Collaborate with Inmation Industrial Data Fabric team and Aspentech contractor to gather new data from OT and implement models on the solution.
• Work with sites and users to identify data sources and inject them properly within Inmation Industrial Data Fabric.
• Work with Data community on roadmaps and Data Products implementation on Data Platforms (DataHub, Surface Data Platform, eSpark)

Business Skills

• Oil & Gas domain knowledge (e.g., upstream/downstream operations).
• Project Management for use case development and roadmap planning.
• Working on relevant use cases involving new data sources and products.
• Collaborating with teams like Inmation Industrial Data Fabric team, Aspentech contractors, sites, users, and Data community.

OT Skills

• Gathering new data from OT sources (e.g., DCS, PLC).
• OPC UA/DA protocols.
• Integration with systems like Honeywell, Schneider, Yokogawa, Emerson, ABB, or other PLCs.
• ISA95 standards for industrial data structures.
• PI System for real-time data management.

IT Skills

• Inmation Industrial Data Fabric solution expertise.
• Inmation Data Studio for implementing Data models.
• Web Studio for visualization Dashboard implementation.
• Azure / Databricks for IT-side interfaces and data handling.
• Cognite for digital twin integration.
• Cyber security knowledge related to data interfaces.
• Working with Data Platforms like RC DataHub, Surface Data Platform, eSpark for roadmaps and Data Products implementation.