Data Analyst

Job Requirements

• 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 TotalEnergies 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 TotalEnergies Data community on roadmaps and Data Products implementation on Data Platforms (RC DataHub, Surface Data Platform, eSpark)  

Work Experience

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 TotalEnergies 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.