Company:A Large Global Organization
Key Skills: AI/ML, Forecasting, SQL, Python, Budgeting, Predictive Analysis, Cloud (AWS / Azure / GCP)
Roles and Responsibilities:
Core Technical Skills
Develop and implement solutions using Python, machine learning, and AI engineering.
Apply GenAI, LLMs, small language models, RAG, and agentic AI to business use cases.
Design, develop, and tune NLP and predictive models.
Build and manage data workflows on platforms such as Databricks or similar platforms.
Apply robust prompt engineering fundamentals to AI and GenAI solutions.
Problem-Solving and Business Skills
Translate business needs into effective technical solutions, focusing on measurable business outcomes.
Work with Finance datasets and ERP-related data.
Apply curiosity, adaptability, and a problem-solving mindset to develop new solutions.
Partner with engineering teams and AI CoEs to productize analytics and AI/ML models.
Ways of Working
Start small, iterate quickly, and continuously improve solutions based on feedback.
Collaborate directly with global Finance stakeholders.




Work effectively in global environments with empathy for end users.
Build and experiment with new AI capabilities and solutions.
Contribute to shaping analytics and AI roadmaps and initiatives.
Skills Required:
5-8 years of experience in analytics, data science, or business intelligence, with at least 5 years in a leadership or lead role.
Experience delivering analytics or automation initiatives for Finance or FP&A; functions.
Knowledge of finance data domains such as general ledger, allocations, forecasting, and planning.
Strong skills in Power BI, Databricks, Microsoft Fabric, and Denodo.
Strong hands-on experience with Python, machine learning, and AI engineering.
Experience with GenAI, LLMs, small language models, RAG, and agentic AI.
Experience with NLP, predictive analytics, forecasting, and machine learning models.
Familiarity with AI/ML frameworks and tools such as Python, TensorFlow, and Azure M

📌 Business Analytics Lead Analyst_102384 (Hyderabad)
🏢 MyCareernet
📍 Hyderabad