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 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:

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 Attend review calls with the management and help in review of reports / data and explore additional analysis.  Make strategic recommendations to the stakeholders/project teams based on the data analytics 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

Skills & Competencies:

Knowledge of Business Intelligence tools – Oracle BI, Tableau, Microsoft Power BI, etc.  Knowledge of Programming languages –SQL, Python Strong Business Acumen and communication skills Strong Data Intuition  Proven experience with client and customer engagement  Analytical and problem-solving skills  Knowledge of HCM (plus) Machine Learning, AI experience (plus)

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