
Financial Business Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Financial Business Analyst with 7-8 years of experience, focusing on data integrity projects using PeopleSoft Financials. It is a hybrid position with a competitive pay rate and requires strong analytical, problem-solving, and communication skills.
π - Country
United States
π± - Currency
Unknown
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π° - Day rate
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ποΈ - Date discovered
July 25, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Dover, DE
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π§ - Skills detailed
#Data Analysis #System Testing #"ETL (Extract #Transform #Load)" #Data Integrity #Documentation #PeopleSoft #Datasets #Business Analysis #Data Management
Role description
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Job Description
Job Summary:
We are seeking an experienced Financial Business Analyst to join our team, supporting a high-impact data integrity project. The ideal candidate will possess strong technical and analytical skills, with a solid background in PeopleSoft and data analysis. This role requires a hands-on professional with a proven track record in financial systems and data management.
Key Responsibilities:
Support and manage data integrity initiatives related to financial systems and reporting.
Conduct thorough data analysis, validation, and reconciliation to ensure accuracy and completeness of financial data.
Collaborate with cross-functional teams to identify, document, and resolve data-related issues.
Work extensively with PeopleSoft Financials, including reporting, queries, and data extracts.
Translate business requirements into functional specifications and technical documentation.
Assist in system testing, troubleshooting, and implementation of financial system enhancements.
Provide detailed reports and dashboards to stakeholders for informed decision-making.
Required Skills & Qualifications:
7-8 years of professional experience as a Financial Business Analyst.
Strong experience working with PeopleSoft Financials.
Proven expertise in data analysis, data validation, and reconciliation.
Hands-on experience supporting data integrity projects.
Strong technical aptitude with the ability to work with large and complex datasets.
Excellent problem-solving, analytical, and communication skills.
Ability to work independently as well as collaboratively in a hybrid work environment