Role Summary

HIGHLIGHTS

Data Analyst supporting financial and actuarial datasets (claims, premiums, reserves) for a remote, distributed team. You will reverse-engineer stored procedures, create source-to-target mappings, and perform data profiling to resolve quality issues. Role is based in Philadelphia (US) but described as remote work in a distributed team.

JOB DESCRIPTION SUMMARY

Reverse-engineer complex stored procedures to extract business logic
Create and maintain source-to-target mapping documents for ETL
Perform data profiling and validation of actuarial and financial data
Investigate and resolve data quality issues and root causes
Remote role; work across onshore-offshore overlap hours

DOMAIN EXPERTISE

SQL and relational databases (SQL Server, PostgreSQL)
Analyzing complex stored procedures and extracting business logic
Source-to-target mapping for ETL and data transformations
Financial and actuarial data handling (claims, premiums, reserves)
Data profiling and data quality frameworks

KEY REQUIREMENTS

Strong experience in SQL and relational databases (SQL Server, PostgreSQL)
Proven ability to analyze complex stored procedures
Experience creating source-to-target mappings for data integration
Solid understanding of financial and actuarial data (claims, premiums, reserves)
Familiarity with data quality frameworks and issue resolution

TECH STACK

No tech stack specified

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Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Reverse-engineer complex stored procedures to extract business logic
Create and maintain source-to-target mapping documents for ETL
Perform data profiling and validation of actuarial and financial data
Investigate and resolve data quality issues and root causes
Remote role; work across onshore-offshore overlap hours

DOMAIN EXPERTISE

SQL and relational databases (SQL Server, PostgreSQL)
Analyzing complex stored procedures and extracting business logic
Source-to-target mapping for ETL and data transformations
Financial and actuarial data handling (claims, premiums, reserves)
Data profiling and data quality frameworks

KEY REQUIREMENTS

Strong experience in SQL and relational databases (SQL Server, PostgreSQL)
Proven ability to analyze complex stored procedures
Experience creating source-to-target mappings for data integration
Solid understanding of financial and actuarial data (claims, premiums, reserves)
Familiarity with data quality frameworks and issue resolution

TECH STACK

No tech stack specified

Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Reverse-engineer complex stored procedures to extract business logic
Create and maintain source-to-target mapping documents for ETL
Perform data profiling and validation of actuarial and financial data
Investigate and resolve data quality issues and root causes
Remote role; work across onshore-offshore overlap hours

DOMAIN EXPERTISE

SQL and relational databases (SQL Server, PostgreSQL)
Analyzing complex stored procedures and extracting business logic
Source-to-target mapping for ETL and data transformations
Financial and actuarial data handling (claims, premiums, reserves)
Data profiling and data quality frameworks

KEY REQUIREMENTS

Strong experience in SQL and relational databases (SQL Server, PostgreSQL)
Proven ability to analyze complex stored procedures
Experience creating source-to-target mappings for data integration
Solid understanding of financial and actuarial data (claims, premiums, reserves)
Familiarity with data quality frameworks and issue resolution