Capgemini engineering | oracle bi consultant

1 day ago


Bengaluru, India Capgemini Engineering Full time
Capgemini Engineering is looking for Oracle BI Consultant.
Responsabilities :
Person will carry-out hands-on work design, development, testing, UAT, deployment, and provide support during regular hours and on call duty
Responsible for the day-to-day operations of the products in the family
Supports the relationships with key software vendors, reviews their recommendations for lifecycle management
Works in partnership with Product Manager and Area Managers to deliver the technical and functional requirements
Work together following the Product Manager's guidance
Regular support and new use cases development on industry 4.0 initiatives
Performance Monitoring and Optimization
Incident Management and Troubleshooting
Documentation and Training
Development and support of Analytics, Power BI and Azure Io T applications
Requirements :
Proficiency in tools like Oracle BI (primary), Tableau, Power BI, Qlik View, or D3.js is crucial.
Required to have a good understand of their capabilities, limitations, and best practices for creating effective visualizations.
A good understanding of statistical methods and techniques is essential for interpreting data and creating meaningful visualizations. This includes knowledge of descriptive and inferential statistics, hypothesis testing, regression analysis, etc.
Skills in data manipulation using tools like SQL, Python, or R are valuable. Should be able to extract, clean, and transform data from various sources to prepare it for visualization.
The ability to understand complex datasets and identify patterns, trends, and outliers is crucial. Should be able to translate business requirements into actionable insights through visualizations.
Understanding UX principles is important for creating visualizations that are intuitive, user-friendly, and effectively communicate the intended message to the audience.
Skills in storytelling with data are essential for conveying insights and influencing decision-making. This includes knowing how to structure visualizations to tell a coherent and compelling story.
Knowledge of data governance principles, data privacy regulations, and best practices for ensuring data security is important, especially when dealing with sensitive or confidential information.
A keen awareness of best practices, and regulations pertaining to manufacturing industry and Critical Infrastructure protection.
5 to 10 years of experience and a good proficiency in English, both written and spoken.

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