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Talent Analytics & AI Specialist

Talent Analytics & AI Specialist

OracleGreater Bengaluru Area, India
22 hours ago
Job description

Title : Talent Analytics & AI Specialist with AI Agent

Location : Open for Remote

Experience : 3 to 6 years

Short description :

Are you passionate about turning data into insights and using AI to shape the future of work? At Oracle, we’re expanding our Talent Acquisition operations and looking for someone who’s curious, analytical, and excited to make an impact. We’re looking for a Business Analyst who’s passionate about AI, data storytelling, and analytics to join Oracle’s Global Talent Acquisition team. In this role, you’ll use data-driven insights and innovative technologies to shape the future of how we attract and grow talent worldwide. If you enjoy turning data into strategies and making an impact through smart, actionable insights — we’d love to hear from you!

Job description : What you’ll be doing

  • Unlocking insights with AI : Use Oracle Analytics Cloud and AI to explore recruiting and talent data, spot trends, predict outcomes, and recommend data-driven strategies.
  • Design, build, and deploy cutting-edge machine learning and generative AI systems, with a focus on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search.
  • Recruiting Insight : A strong interest in transforming the recruitment experience using AI, with a deep understanding of the challenges and opportunities in talent acquisition.
  • Telling stories through data : Turn complex findings into clear, actionable insights that help guide key business and talent decisions.
  • Designing and visualizing : Build meaningful data models and create engaging visual dashboards that make analytics easy to understand and act on.
  • Collaborating across teams : Work closely with Talent Acquisition partners and other groups to understand business needs and design impactful solutions, identify opportunities where AI can improve efficiency and drive better hiring outcomes.
  • Championing data-driven culture : Help shape a culture where decisions are powered by data and analytics.
  • Innovating continuously : Stay ahead of AI and analytics trends, experimenting with new tools and ideas to keep our talent analytics evolving.
  • Impact : Drive the development of AI tools that influence how organizations connect with, evaluate, and hire exceptional talent
  • AI Solutions for Recruiting : Create intelligent platforms that provide insights into candidate potential, career trajectories, and cultural fit by leveraging natural language processing (NLP), machine learning, and data analytics.

What will help you succeed :

  • Experience applying AI and analytics to generate insights and recommendations.
  • A knack for data storytelling — translating numbers into compelling narratives.
  • Strong analytical skills with experience in data modeling, visualization (especially Oracle Analytics Cloud), and interpreting complex datasets.
  • Clear communication skills and the ability to collaborate with cross-functional teams.
  • A problem-solver’s mindset : framing questions, testing ideas, and finding solutions.
  • Critical thinking : questioning assumptions and ensuring conclusions are reliable.
  • Ensure ethical and responsible AI practices in all solutions.
  • Why join us? You’ll not only get to work with cutting-edge AI and analytics tools but also play a direct role in shaping how Oracle hires and grows talent. This is a place where curiosity, innovation, and collaboration are valued — and where your work will have a real impact.

    Responsibilities displayed in the job posting

  • Artificial Intelligence techniques for advanced analytics and data-driven insights
  • Data storytelling (translating findings into compelling narratives)
  • Analytical thinking (extracting, processing, interpreting large datasets)
  • Data visualization (with Oracle Analytics Cloud – OAC)
  • Python experience is a plus
  • Qualifications displayed in the job posting

    Career Level - IC3 / IC4

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