Analyze, clean, validate, and transform client data before upload
Run SQL and Python scripts to process large transactional datasets
Investigate data quality issues and present findings to PMs
Collaborate with internal teams and external stakeholders to resolve data issues
Review PM requests to determine data processing requirements
Recommend process improvements to increase accuracy and efficiency

🎯 Requirements

Bachelor's degree in CS, Statistics, Data Analytics, Mathematics, or related field
Proven experience as a data analyst with structured, large transactional datasets
Proficiency in Python (pandas) for cleaning, transformation, and validation
Strong SQL skills for extraction, joining, filtering, and validation
Identify and resolve data quality issues including duplicates and missing values

🎁 Benefits

Generous health and wellness benefits
Retirement savings plans
Parental leave and more
Remote-friendly work environment

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