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 strong 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 recent 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

📌 Business Analytics Lead Analyst (Bengaluru)
🏢 Careernet
📍 Bengaluru