Key Responsibilities
Analyze large and complex datasets to identify trends, patterns, and business opportunities.
Write efficient and optimized SQL queries for data extraction, transformation, and analysis.
Develop, maintain, and enhance dashboards and reports using Looker.
Utilize Python for data cleaning, automation, statistical analysis, and advanced data processing.
Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
Monitor key business metrics and provide actionable recommendations based on data insights.
Ensure data accuracy, consistency, and integrity across reporting systems.
Create and maintain documentation for dashboards, data models, and reporting processes.
Support ad hoc analytical requests and business performance reviews.
Explore and adopt AI-assisted analytics tools and techniques to improve reporting efficiency and insight generation.

Required Skills & Qualifications

Core Skills
Robust proficiency in SQL with experience in complex queries,



joins, aggregations, CTEs, and performance optimization.
Robust programming skills in Python for data analysis and automation.
Hands-on experience building dashboards, reports, and data models in Looker.
Experience working with relational databases and data warehouses.
Solid analytical and problem-solving abilities.
Excellent communication and stakeholder management skills.
Ability to translate business questions into data-driven insights.

Good to Have
Experience with Tableau dashboard development and visualization best practices.
Familiarity with AI-enabled analytics tools, generative AI applications, or AI-assisted reporting workflows.
Exposure to cloud data platforms such as Snowflake, BigQuery, Redshift, or Databricks.
Knowledge of statistical analysis and experimentation methodologies.
Experience working in Agile environments.

📌 Data Analyst Sql, Python Hyderabad
🏢 Indium software
📍 Hyderabad