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Introduction
The Financial Systems Data Analyst Is a subject matter expert who has accounting working knowledge with month and year end close, reconciled financial transactions, managed chart of accounts, general ledger & processes, and associated accounting rules. Must have experience performing financial analysis and reconciliation. Strong financial/accounting background – insurance account knowledge a plus. Financial Systems Data Analyst with strong communication skills that can perform financial analysis, financial testing, and write financial accounting system requirements.
The Financial Analyst is someone who needs to be strong with data analysis, have experience with loading and processing data into a financial system, financial auditing, performing financial testing and reconciliation. Must be able to define testing expected results in support of financial testing. The ideal candidate has been heavily involved in creating test cases, test scripts and executed testing working with corporate financial or corporate accounting systems.
What You'll Be Doing
Work in a team with other smart AIS employees using cutting-edge technologies to solve challenging business problems.
Candidates need accounting background and experience. This knowledge is a MUST to be considered for this position.
Understand the implementation of accounting policy and rules to create journal debit and credit lines for various financial life cycle-based events.
Document requirements associated with financial system enhancements or changes.
Work with technologies, tools and extract, transfer, and load technologies (Service Gateway, ETL tools)
Work on the analysis, testing and implementation of data driven solutions involving component architectures, data warehouses, data-marts, accounting engines and sub ledgers.
Leverage strong SQL skills, knowledge of relational databases, in the construction of queries.
Business and process analysis, including structure documentation.
Identify and resolve accounting data discrepancies.
Design financial test scenarios, acceptance criteria, expected results and test data.
Strong verbal communication skills
Applied Information Sciences is an Equal Opportunity Employer and does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis covered by law. Employment decisions are based solely on qualifications, merit, and business need.