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Quest Global
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Data Analyst

Data Analyst

Quest Global

0 years

0 Lacs

bengaluru

Posted:11 hours ago| Platform: GlassDoor logo

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Skills Required

data storage visualization dashboard datahub management development integration abb azure databricks security

Work Mode

On-site

Job Type

Part Time

Job Description

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.

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