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Strong Tier-1 brand, popular data analyst title, metro location, and common SQL/Python skills increase competition.
Core SQL/Python data skills are easily transferable across industries, indicating low background sensitivity.
Requires SQL, Python, ETL and data quality skills but no explicit years, moderate strictness.
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Analyze large datasets using SQL and Python to identify data anomalies, inconsistencies, and quality issues and recommend corrective actions.
Develop and automate data quality checks, validation scripts, and reports to improve data reliability.
Support ETL and data migration by validating source and target data to ensure successful reconciliation and transformation.
Proficiency in SQL and Python for data analysis.
Experience working with relational databases and data management tools.
Bachelor's degree in BE/BTech or a relevant field.
Work Experience Required: Not explicitly mentioned in the JD
Experienced in handling large structured datasets and improving data quality through automation.
Comfortable collaborating with business and technical teams on data governance and issue resolution.
Skilled in applying analytical problem-solving to ensure compliance with data quality standards