Overview
On Site
Hybrid
USD 80.00 per hour
Full Time
Skills
SQL
Microsoft Excel
Analytical Skill
Communication
Data Analysis
SAP
SAP AP
Augmented Reality
General Ledger
Financial Statements
Systems Architecture
Mainframe
VSAM
IBM DB2
Cloud Computing
Database
Snow Flake Schema
Data Structure
Documentation
Financial Reporting
Collaboration
DNA
Data Mapping
Mapping
Regulatory Compliance
Finance
Accounting
Reporting
Job Details
Date Posted: 08/29/2025
Hiring Organization: Rose International
Position Number: 487822
Industry: Financial Services
Job Title: Data Analyst
Job Location: Plano, TX, USA, 75024
Work Model: Hybrid
Work Model Details: Hybrid (2-3 days a week in the office)
Shift: 08:00 am - 05:00 pm
Employment Type: Temp to Hire
FT/PT: Full-Time
Estimated Duration (In months): 13
Min Hourly Rate($): 80.00
Max Hourly Rate($): 83.82
Must Have Skills/Attributes: Accounting, Data Analytics, SAP, Snowflake, SQL
Experience Desired: 8+ years of experience in financial data analysis (9 yrs); Strong experience in data analytics, Snowflake and accounting principles, financial schedules. (6 yrs)
Required Minimum Education: Bachelor's Degree
**C2C is not available**
Job Description
Required Education:
Bachelor's Degree
Required Qualifications:
8+ years of experience in financial data analysis
Strong understanding of accounting principles, financial schedules, and source system structures.
Proven experience in data mapping, data lineage documentation, and reconciliation between accounting outputs and source data.
Deep working knowledge of Client applications
Proficiency in SQL, Excel, Databases (Snowflake, DB2), and familiarity with SAP, Mainframe systems used in financial data environments.
Excellent analytical, documentation, and communication skills, with the ability to work cross-functionally with Accounting, IT, and Data teams.
Strong experience in data analytics and Snowflake.
Must have an understanding of accounting and financial statements.
Knowledge of SAP is required, with SAP AP/AR knowledge being a plus.
Knowledge of Client applications and DB2 is a nice-to-have.
Job Responsibilities:
Support a CSO transformation project.
Perform data mapping by tracing data schedules back to their 450 source locations.
Capture fields for variance calculations.
Work with data from accounting, General Ledger (GL), and financial statements.
Data analysts with a specialization in Automotive and Captive Lending Accounting/Financial Reporting to support the mapping of reporting data to multiple source systems.
This role is essential for ensuring a comprehensive understanding of data topology, system architecture, and integration flows.
Candidates should be adept at analyzing and documenting data mappings from the reporting layer to various legacy and modern platforms-including Mainframe technologies (VSAM, DB2) and cloud-based databases s such as Snowflake.
The ideal candidate will demonstrate strong knowledge of accounting principles, deep expertise in data structures, and practical experience with enterprise systems, all while ensuring documentation aligns with financial reporting standards.
Collaborate with Accounting and DnA teams to understand the structure and content of financial schedules and their corresponding source systems.
Apply deep knowledge of Client applications and the accounting framework to trace and map financial data elements back to their origin in source systems.
Perform detailed data mapping between accounting schedules and source system fields, ensuring accuracy, consistency, and traceability.
Document data lineage, including transformation logic and mapping rules, to support auditability and compliance.
Assist in validating the accuracy and completeness of mapped data through reconciliation with financial reports and schedules.
Support ongoing reconciliation efforts to ensure mapped data aligns with accounting outputs and reporting standards.
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Hiring Organization: Rose International
Position Number: 487822
Industry: Financial Services
Job Title: Data Analyst
Job Location: Plano, TX, USA, 75024
Work Model: Hybrid
Work Model Details: Hybrid (2-3 days a week in the office)
Shift: 08:00 am - 05:00 pm
Employment Type: Temp to Hire
FT/PT: Full-Time
Estimated Duration (In months): 13
Min Hourly Rate($): 80.00
Max Hourly Rate($): 83.82
Must Have Skills/Attributes: Accounting, Data Analytics, SAP, Snowflake, SQL
Experience Desired: 8+ years of experience in financial data analysis (9 yrs); Strong experience in data analytics, Snowflake and accounting principles, financial schedules. (6 yrs)
Required Minimum Education: Bachelor's Degree
**C2C is not available**
Job Description
Required Education:
Bachelor's Degree
Required Qualifications:
8+ years of experience in financial data analysis
Strong understanding of accounting principles, financial schedules, and source system structures.
Proven experience in data mapping, data lineage documentation, and reconciliation between accounting outputs and source data.
Deep working knowledge of Client applications
Proficiency in SQL, Excel, Databases (Snowflake, DB2), and familiarity with SAP, Mainframe systems used in financial data environments.
Excellent analytical, documentation, and communication skills, with the ability to work cross-functionally with Accounting, IT, and Data teams.
Strong experience in data analytics and Snowflake.
Must have an understanding of accounting and financial statements.
Knowledge of SAP is required, with SAP AP/AR knowledge being a plus.
Knowledge of Client applications and DB2 is a nice-to-have.
Job Responsibilities:
Support a CSO transformation project.
Perform data mapping by tracing data schedules back to their 450 source locations.
Capture fields for variance calculations.
Work with data from accounting, General Ledger (GL), and financial statements.
Data analysts with a specialization in Automotive and Captive Lending Accounting/Financial Reporting to support the mapping of reporting data to multiple source systems.
This role is essential for ensuring a comprehensive understanding of data topology, system architecture, and integration flows.
Candidates should be adept at analyzing and documenting data mappings from the reporting layer to various legacy and modern platforms-including Mainframe technologies (VSAM, DB2) and cloud-based databases s such as Snowflake.
The ideal candidate will demonstrate strong knowledge of accounting principles, deep expertise in data structures, and practical experience with enterprise systems, all while ensuring documentation aligns with financial reporting standards.
Collaborate with Accounting and DnA teams to understand the structure and content of financial schedules and their corresponding source systems.
Apply deep knowledge of Client applications and the accounting framework to trace and map financial data elements back to their origin in source systems.
Perform detailed data mapping between accounting schedules and source system fields, ensuring accuracy, consistency, and traceability.
Document data lineage, including transformation logic and mapping rules, to support auditability and compliance.
Assist in validating the accuracy and completeness of mapped data through reconciliation with financial reports and schedules.
Support ongoing reconciliation efforts to ensure mapped data aligns with accounting outputs and reporting standards.
- **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.