Financial Data Analyst

Aston Carter•Jacksonville, FL

1d•$35 - $40•Hybrid

About The Position

As a Financial Data Analyst, you will play a crucial role in the data conversion and transformation process, collaborating with the Data Management team to execute data transformation scripts. You will ensure adherence to GAAP principles while utilizing advanced Excel skills to create reconciliations and validate data between legacy systems and a new ERP. Your work will contribute to maintaining data integrity and regulatory compliance.

Requirements

Strong experience with a Finance SaaS ERP implementation.
Understanding of General Ledger and Accounts Payable.
In-depth knowledge of data conversion, cleansing, and transformation processes.
Bachelor's degree in Accounting, Finance, Business Administration, or related field.
Experience in data mapping, analysis, transformation, or data quality.
Foundational understanding of Finance functions and reporting.
Proficiency in Microsoft Excel with advanced skills in formulas, functions, and macros.
Experience with data manipulation tools.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.
Ability to work independently and manage multiple priorities effectively.

Nice To Haves

Workday experience is a plus.
Premier and PeopleSoft data extraction experience is a plus.

Responsibilities

Collaborate with the Data Management team to understand data mapping, conversion strategies, and business rules specific to Finance.
Execute data transformation scripts using tools like Excel, Access, SQL, and Python.
Utilize advanced Excel skills to create reconciliations and perform validations for mock data conversions and cutover.
Cleanse, standardize, and validate data to ensure quality and consistency.
Identify and resolve data discrepancies and anomalies, liaising with stakeholders for solutions.
Translate business requirements into actionable data-related tasks and solutions.
Effectively communicate technical concepts to both technical and non-technical audiences.
Support system testing and user acceptance testing (UAT) activities related to data migration.
Document data transformation, mapping, and conversion processes and procedures.
Assist in data cleansing activities and create efficiencies in cleansing data.