- Experience: 5+ Years

Role Overview

We are looking for a Senior Data Analyst with solid SQL expertise, intermediate Python skills, and excellent stakeholder management capabilities. The candidate should have experience handling large datasets, automating data workflows, and delivering actionable business insights.

Key Responsibilities

- Analyze large datasets and generate meaningful business insights.

- Write, debug, and optimize complex SQL queries.

- Use Python to automate analytical tasks and streamline data workflows.

- Lead requirement-gathering discussions with business and technical stakeholders.

- Collaborate across teams for data bridging and cross-platform integration.

- Present findings and insights during client-facing discussions.

- Lead analytical projects while remaining hands-on.

Required Skills & Qualifications

- SQL: Expert-level skills in complex queries and performance optimization.

- Python:



Intermediate proficiency with a focus on automation and data pipelines.

- Stakeholder Management: Experience handling business requirements and expectations.

- Data Collaboration: Exposure to data bridging, cross-platform collaboration, or identity resolution tools.

- Communication: Excellent verbal and written communication skills.

- Leadership: Experience leading analytical projects or small teams.

Indium is an AI services company that helps enterprises build, scale, and innovate with cutting-edge technology. Backed by the prominent private equity firm EQT, Indium has spent 26 years providing excellence in digital engineering for Fortune 500 firms. With an "AI-first by design" approach, Indium specializes in Agentic AI, Data & Analytics, Application Engineering, and Quality Engineering.

📌 Senior Data Analyst (Hyderabad)
🏢 Indium
📍 Hyderabad