Business Intelligence Analyst

We are looking for data enthusiasts who are passionate about data analytics, data models, data visualization, join us to support the Global Talent Acquisition organization.

Hiring better employees creates long-term competitive advantages that lead to increased customer satisfaction and revenue growth. Oracle Talent Acquisition team helps organizations reach hard-to-find talent, hire the right people, and get them productive more quickly. Modern recruiting is becoming increasingly challenging, requiring companies to work harder to seek out and identify the best talent while staying on top of the complexity of their own internal hiring process. The Talent Specialist manage end to end of the overall hiring lifecycle –from the sourcing of active and passive candidates across a variety of websites, job boards, referrals, and social media, Screen & qualify the identified candidates, manage interviews and  who are then put through the interview & offer management and on boarding of the candidate.

The candidate hired for this role will be working with Regional Leadership team supporting end to end data analytics and reporting needs, understand their business and provide valuable insights to drive the business and strategies.

Job responsibilities include

• Collaborate with the various stake holders in the Talent acquisition organization understanding the business requirements and  objectives
• Review, process, validate the integrity of data used for analysis
• Work with all candidate/ employee database by using scientific methods, processes, systems to extract knowledge and insights from many structured and unstructured data
• Able to create and design interactive dashboards
• Build a comprehensive framework on Predictive modelling techniques and be able to present the data insights using data visualization
• Make strategic recommendations based on the data analysis and models built to the leadership team and tell the story using data visualization.

Skills & Competencies:

• Analytical & statistical skills
• Knowledge of analytical tools – R, SAS, Hadoop etc
• Knowledge of Business Intelligence tools – Oracle BI, Tableau, Microsoft Power BI etc
• Knowledge of Programming languages – Python, SQL etc
• Data modelling
• Machine Learning, AI experience (plus)
• Knowledge of HCM (preferred)
• Strong Business Acumen and communication skills
• Strong Data Intuition
• Proven experience with client and customer engagement