Oracle

BI Analyst - Temp Staff (OBIEE)

Posted On

Dec. 2, 2025

Location

Bengaluru, Karnataka

Experience Level

Professional

Job Type

Permanent

Apply By

Jan. 27, 2026

Job Description

We are on a journey to build a set of next gen data analytics dashboards that would enable effective decision making for our Talent advisors and Talent Advisory Management. You will help create a data-led culture that will put effective decision making at the forefront and transform the way our Talent acquisition organization operates. We are fusing amazing visualization and UX with innovative technologies leveraging Visualization tools, Artificial Intelligence, and Machine Learning.
You will be working with multiple teams across Oracle Talent Acquisition organization, supporting end to end data analytics and reporting needs, understanding the business and providing valuable insights to drive the business and strategies.Job responsibilities include:·Create interactive dashboards in BI and OAC platform with powerful and user focused visualization.·
Review, process, and validate the integrity of data used for analysis.·
Collaborate with the various stakeholders in the Talent acquisition organization understanding the business requirements and objectives.·
Work with all candidate/ employee database by using scientific methods, processes, systems to extract knowledge and insights from many structured and unstructured data.·
Make strategic recommendations based on the data analysis and models built to the leadership team and tell the story using data visualization.·
Build a comprehensive framework on Predictive modelling techniques and be able to present the data insights using data visualization Skills & Competencies:·
Analytical & statistical skills.·
Knowledge of Business Intelligence tools – Oracle BI, Oracle Analytics Cloud, Microsoft Power BI etc.·
Knowledge of Programming languages –SQL, Python etc.·
Data modelling.· Strong Business Acumen and communication skills.· Strong Data Intuition.·
Proven experience with client and customer engagement.·
Machine Learning, AI experience (plus).

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