Senior Data Analyst

Simpluris

5d•Remote

About The Position

Simpluris Inc. delivers comprehensive corporate, financial and legal administration services across the United States. Since 2007, Simpluris has administered over 9 thousand matters and distributed over $8 billion in funds. From class action settlements to corporate remediation, our nationwide team handles even the most complex matters with accuracy and transparency. Regardless of scale, Simpluris’ project management experts deliver legal administration services with speed, precision, and accountability. You'll own the critical data analysis, cleaning, and validation processes that support Simpluris' operational systems, working with transactional and case-related datasets to ensure data quality before upload into internal systems. Reporting to the data operations team, you'll collaborate with project managers and stakeholders to resolve data discrepancies and implement process improvements. This role is essential as we continue scaling our data operations to handle increasingly complex client matters.

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

Nice To Haves

Experience with large transactional datasets involving payments, claims, account activity, or communications
Background in class action administration, legal administration, settlement administration, or claims processing
Familiarity with securities-related data such as transactions, holdings, trades, or loss calculations

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