Finance Data Analyst: GL & Subledger for Banking

Michael Page; New York (NY); On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

Medical coverage from day 1

Job summary

MPI in New York City seeks a Business Data Analyst with banking sector expertise to optimize General Ledger reporting, journal processing, and data flows. The role emphasizes SQL validation, data warehousing, and collaboration with Finance, Product Control, Treasury, and Risk teams.

You will evaluate end-to-end financial data, build mappings, and support modernization initiatives in a midtown Manhattan environment. Relevant tools include SAP GL, Databricks, Snowflake, and data lake concepts.

Qualifications

• Strong finance and accounting knowledge including GL, journal processing, and reconciliations.
• Experience with SQL for data analysis and validation.
• Familiarity with SAP Finance/GL systems and data warehousing.

Responsibilities

• Gather, analyze, and document business, data, and reporting requirements.
• Translate requirements into data mappings, functional specifications, and design artifacts.
• Analyze end-to-end financial data flows from source systems through subledgers and General Ledger platforms.
• Create and maintain source-to-target mappings, data lineage, and logical data models.
• Partner with Finance, Product Control, Treasury, Risk, Operations, and Technology teams.
• Support data warehouse, reporting, governance, and modernization initiatives.
• Perform data analysis, reconciliation, impact assessments, and root-cause investigations.

Skills

Finance & accounting knowledge

SQL

Python

Education

Tools

SAP GL

Data warehouse architecture

Databricks

Snowflake

Job description

MPI in New York City seeks a Business Data Analyst with banking sector expertise to optimize General Ledger reporting, journal processing, and data flows. The role emphasizes SQL validation, data warehousing, and collaboration with Finance, Product Control, Treasury, and Risk teams.

You will evaluate end-to-end financial data, build mappings, and support modernization initiatives in a midtown Manhattan environment. Relevant tools include SAP GL, Databricks, Snowflake, and data lake concepts.