- 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
🏢 Deloitte
📍 Delhi