Senior Data Analyst
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Job Description
Data Analyst managing data quality and validation processes for Simpluris' operational systems. Collaborating with teams to ensure data integrity and process improvements in client matters.
Responsibilities:
- Analyze, clean, validate, and transform client-provided data from diverse sources and formats before system upload
- Execute SQL queries and Python scripts to process, reconcile, and validate large transactional datasets
- Investigate data quality issues, exceptions, and inconsistencies to present findings to project managers for client resolution
- Collaborate with internal teams and external stakeholders to resolve data-related issues and ensure accuracy
- Review project manager requests to determine data processing requirements and deliver processed datasets
- Recommend and implement process improvements that increase accuracy, consistency, and operational efficiency
Requirements:
- Bachelor's degree in Computer Science, Statistics, Data Analytics, Mathematics, Business, or related field
- Proven experience as a data analyst working with structured datasets, particularly large record-based or transactional data
- Proficiency in Python (preferably pandas) for data cleaning, transformation, validation, and reconciliation
- Strong SQL skills for data extraction, joining, filtering, aggregation, and validation
- Demonstrated ability to identify and resolve data quality issues including duplicates, missing values, and record inconsistencies
Benefits:
- Competitive pay
- Generous health and wellness benefits
- Retirement savings plans
- Parental leave
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