Business Analyst/Data Analyst

0 years

10 Lacs

Posted:1 day ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Overview:
We are seeking a Business Analyst with strong expertise in Generative AI and Data Solutions. This role bridges business needs and technical delivery, focusing on designing and implementing LLM-powered workflows, RAG architectures, and data-driven insights. You will collaborate with cross-functional teams to deliver scalable AI solutions using LangChain/LangGraph, Azure/OpenAI, and modern data tools, while ensuring business value through robust reporting and agile execution.

Responsibilities:
  • Gather and analyze business requirements; translate them into functional specifications and user stories.
  • Design and support LLM-based solutions including RAG pipelines, prompt strategies, and retrieval workflows.
  • Build prototypes and collaborate with engineering teams on LangChain/LangGraph orchestration.
  • Perform data analysis using Python and SQL; ensure data quality and relevance for AI models.
  • Define and optimize vector database schemas and retrieval strategies.
  • Develop and maintain BI dashboards (Power BI/Tableau) for performance monitoring and insights.
  • Implement prompt engineering best practices for accuracy, grounding, and safety.
  • Work in Agile delivery frameworks, managing backlogs, sprints, and stakeholder communication.
  • Ensure compliance with governance, security, and ethical AI standards.

Requirements:

  • Experience with LangSmith or LLM observability tools.
  • Knowledge of hybrid search, re-ranking, and advanced retrieval techniques.
  • Familiarity with LLMOps/MLOps for prompt versioning and model lifecycle management.
  • Exposure to Azure Data Stack (Data Factory, Synapse, Databricks) or Snowflake.
  • Advanced BI skills (DAX, data modeling) and KPI design.
  • Understanding of embedding models, chunking strategies, and metadata filtering.
  • Domain experience in BFSI, Retail, Healthcare, or similar industries.

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