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Job Description & How to Apply Below
Job Title:
Senior Business Intelligence Engineer
Experience
Required:
7+ years
Location : Hyderabad
Employment Type:
Full-Time
Role Summary
We are looking for a highly experienced Senior BI Engineer who can independently engage with business stakeholders, understand ambiguous business problems, translate them into analytical and AI-driven solutions, and design/build intelligent AI agents that automate decision-making workflows.
This role requires a rare combination of:
Strong BI engineering expertise
Business consulting mindset
AI/LLM agent development capability
Excellent stakeholder communication skills
The ideal candidate should be comfortable moving from business discussion $B *(J problem framing $B *(J data design $B *(J AI agent implementation.
Key Responsibilities
1. Business Stakeholder Engagement
Directly interact with business leaders, product owners, and functional teams.
Gather unclear or high-level business requirements and convert them into actionable technical use cases.
Identify opportunities where AI agents can automate repetitive decision workflows.
2. BI Solution Architecture
Design scalable BI data models, semantic layers, dashboards, and self-service reporting solutions.
Build advanced KPI frameworks and decision intelligence dashboards.
Translate raw business problems into measurable data metrics.
3. AI Agent Development
Design and build AI agents capable of:
Querying structured enterprise data
Answering business questions conversationally
Automating analytical insights generation
Triggering business workflows
Build agentic workflows using LLM frameworks.
Examples:
Sales performance insight agents
Executive reporting copilots
Revenue anomaly detection agents
Conversational BI assistants
4. Data Engineering + Integration
Connect AI agents with:
Data warehouses
BI platforms
APIs
Business applications
Build retrieval pipelines (RAG if needed) for enterprise knowledge access.
5. Advanced Analytics Problem Solving
Convert business ambiguity into AI use cases.
Recommend when to use dashboards vs copilots vs autonomous agents.
6. Cross-functional Collaboration
Partner with:
Business teams
Product managers
Data engineers
AI/ML engineers
Leadership teams
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