We are seeking an experienced Data Analyst who can translate business requirements into actionable insights and scalable data solutions. The ideal candidate should possess robust expertise in SQL, relational databases, data modelling, business intelligence tools, and GCP data services. The role will also involve supporting API teams through data provisioning, validation, and integration activities.

Key Responsibilities
Analyse business requirements and convert them into practical, data-driven solutions.
Develop, maintain, and optimise SQL queries for reporting, analytics, and operational needs.
Work with structured data models while ensuring data consistency, quality, and integrity.
Perform data extraction, transformation, validation, and reconciliation across multiple data sources.
Support API teams with data provisioning, including table creation, data mapping, extraction, validation, and delivery.
Collaborate with API developers to define data contracts, field mappings, and data quality rules.
Troubleshoot API-related data issues and resolve data discrepancies in a timely manner.
Develop dashboards and reports using BI tools such as Power BI and Tableau.
Adhere to data governance, security, compliance, and documentation standards.




Present analytical findings and recommendations to both technical and non-technical stakeholders.

Required Experience
Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, or a related field.
Solid understanding of data structures, data logic, and relational database concepts.
Hands-on experience with joins, indexing, partitioning, and database optimisation techniques.
Robust expertise in ANSI SQL for querying, transformation, and analysis.
Working knowledge of Google Cloud Platform (GCP) and data-related services.
Experience in data analysis, reporting, and business intelligence projects.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent communication and stakeholder management abilities.

Preferred Skills
SQL performance tuning and query optimisation.
Data Warehousing concepts and ETL/ELT processes.
Python programming for data analysis and automation.
Java and REST API integration experience.
Experience with API payload handling, data mapping, and validation.
Banking or Financial Services domain experience.

📌 Data Analyst Sql, Python Bi Hyderabad (India)
🏢 L T M
📍 India