Financial Reporting Analytics Analyst

Munich Re; Princeton (NJ); On-site; USD 106,000 - 155,000; Full time

Benefits offered by this job

Health insurance

Wellness program

Life insurance

Disability insurance

401k match

Retirement savings plan

Paid holidays

PTO

Job summary

Munich Re Specialty North America is seeking a Financial Reporting Technical Analyst to support data analytics and financial reporting systems. You will help generate insights, automate recurring reports, and maintain key platforms including GPS/SBA, FS-RI, EDWH, TM1, and data stores.

Collaboration across IT, Finance, and Actuarial is essential. The role requires a bachelor’s degree or equivalent, strong analytical abilities, and experience with Power BI, SQL, Python, and SAP.

Qualifications

• Bachelor’s degree or equivalent work experience.
• 5+ years of data analytics, financial analysis, reporting, or related experience.
• Experience with Power BI, SQL, Python, and SAP.
• Familiarity with TM1, EDWH, IRDW, FS-RI, SAP-BO, or similar systems.

Responsibilities

• Support the flow of MRS NA financial data across systems and data warehouses.
• Develop and maintain automated reporting outputs and dashboards.
• Assist with planning, forecasting, and KPI alignment for quarterly results.
• Create / maintain Power BI reporting infrastructure and data models.
• Collaborate with IT, Finance, Data, and Actuarial functions on reporting projects.

Skills

Power BI

SQL

Python

SAP

Tableau

Databricks

Data profiling

Analytical thinking

Communication

Collaboration

Education

Bachelor’s degree or equivalent

Tools

TM1

EDWH

IRDW

FS-RI

SAP-BO

Job description

Munich Re Specialty North America is seeking a Financial Reporting Technical Analyst to support data analytics and financial reporting systems. You will help generate insights, automate recurring reports, and maintain key platforms including GPS/SBA, FS-RI, EDWH, TM1, and data stores.

Collaboration across IT, Finance, and Actuarial is essential. The role requires a bachelor’s degree or equivalent, strong analytical abilities, and experience with Power BI, SQL, Python, and SAP.