Data Analyst

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About The Role

Key Responsibilities

• Design, develop, and optimize complex SQL queries for large-scale datasets.
• Perform query optimization to improve performance and ensure efficient data retrieval.
• Work extensively with Python (Pandas) for file handling, data transformations, and table manipulations.
• Build and maintain Python scripts to automate workflows and audit-related processes.
• Integrate and test APIs using the Requests library, enabling seamless automation and data exchange.
• Collaborate with cross-functional teams to understand audit requirements and design scalable data solutions.
• Prepare audit-ready reports, dashboards, and data extracts as per business needs.
• Ensure data accuracy, consistency, and reliability across all processes.
  

Required Skills & Qualifications

• Advanced SQL knowledge with hands-on experience in query optimization and building complex queries.
• Strong working experience with Python (Pandas) for handling structured and unstructured data.
• Proficiency in Python scripting and automation.
• Experience working with APIs and Python Requests library for integrations.
• Good to have: Knowledge of Hive or other big data query engines.
• Strong problem-solving and analytical skills with attention to detail.
• Ability to work in a fast-paced environment and handle multiple tasks simultaneously.
  

Good to Have

• Exposure to big data platforms (Hive, Spark, etc.).
• Experience in audit, compliance, or e-commerce domain.
• Familiarity with dashboarding or reporting tools.