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Senior but common Data Analyst role in Noida with general Python/SQL requirements, moderate competition.
Core Python/SQL analytics highly transferable, recommendation-system and real-estate experience increases domain specificity.
Explicit 10+ years requirement and mandatory Python, SQL, Pandas skills indicate strict filtering.
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Analyze and validate data driving the Agent Recommendation Engine, identifying and resolving data quality issues.
Debug SQL queries and data inconsistencies, investigate root causes of incorrect or unexpected recommendations.
Collaborate with developers to improve data quality and accuracy of recommendation outputs, operating on a flexible 10-hour/week part-time schedule onsite.
10+ years of experience in Data Analytics or related field.
Strong hands-on experience with Python, Pandas, Jupyter Notebook, MySQL, and SQL.
Experience in debugging and troubleshooting data/database issues with large datasets.
Employment type: Part-time, Work mode: Onsite in Noida.
Experienced in working directly with recommendation systems or similar data-driven platforms, preferably in real-estate or marketplace domains.
Capable of independent ownership and root cause analysis of complex data issues.
Skilled in using scripting and querying languages to analyze and improve data pipelines and recommendation logic.