Senior Manager / Senior Analyst / Analyst - Data Analytics & Business Intelligence

Roles & Responsibilities

• Own the end-to-end lifecycle of analytical initiatives — from problem framing and data exploration to model deployment and business adoption
• Lead the design and implementation of intelligent, scalable AI systems, including use cases in Generative AI (e.g., workflow automation, document intelligence) and agent-based AI (autonomous decisioning and orchestration)
• Act as a bridge between business and data, collaborating with cross-functional teams including operations, product, tech, and finance.
• Drive the use of advanced data science techniques (machine learning, optimization, simulation) to improve business outcomes.
• Promote data governance, reproducibility, and sustainable practices in model development and deployment.
• Communicate complex findings through clear narratives and visual storytelling to influence senior leadership.
• Build, mentor, and manage a high-performing analytics team, fostering a culture of innovation, agility, and accountability (This is only applicable at Senior Manager level)

Core Technical Skills

• Proficient in SQL, Python, and working with large, complex datasets
• Strong background in ML/AI — including supervised/unsupervised models, feature engineering, and model evaluation
• Hands-on experience with cloud-based data & ML platforms (e.g., AWS SageMaker, GCP Vertex AI, Azure ML)
• Familiarity with LLMs, vector databases, prompt engineering, and orchestration frameworks (LangChain, LangGraph, or similar)

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