Analyze large datasets using SQL and Python to identify data anomalies, inconsistencies, and quality issues, and recommend corrective actions.
Develop automated data quality checks, validation scripts, and reports to improve data reliability
Analyze, clean, and transform structured datasets to generate actionable business insights and improve model performance.
Collaborate with business and technical teams to understand data requirements, resolve data discrepancies, and support data governance initiatives.
Support ETL and data migration activities by validating source and target data, ensuring successful data transformation and reconciliation.
Work with relational databases, SQL queries, and data management tools to retrieve, validate, and maintain high-quality enterprise data.
Apply analytical and problem-solving skills to investigate data issues and ensure compliance with data quality standards and best practices.
Maintain documentation of data quality rules, validation procedures, and issue resolution while collaborating with cross-functional teams to deliver reliable, data-driven solutions.

Education

BE/BTech/relevant bachelor's degree

📌 Analyst Data Analytics Delhi Operations, Industry & Domain Solutions Digigov (India)
🏢 Deloitte
📍 India