Title:
Data Analyst |
Description:
Major Responsibilities:
*3 Positions - 1 Lead & 2 Associates
*Research problems on incoming data from clients - work closely with groups within operations - Data Quality, Data Analysis and Operations Account Analysts and Finance/Accounting Departments to identify and resolve key issues.
*Impact Analysis on exception resolution of client data prior to loading data to production data repository - thorough understanding of the downstream impacts of data integrity.
*Inform appropriate parties of client reporting issues and anomalies - communicate findings thoroughly and timely.
*Participate in ongoing process improvement efforts - identify opportunities to increase operational efficiency.
*Identify and understand trends in the business, quantify impacts and develop/ implement ongoing analytical toolsets to trap future occurrences.
*Create & follow-through on Competency Development Plan, resulting in enhanced ability to process the business & serve the customer
*Adhere to unit standards & accurately report the status of unprocessed work
*Utilize instruments and methods for the evaluation and quality control of research or operational data. |
Type:
Direct Hire |
Location:
Charlotte - Center City |
City, State,
Zip:
Charlotte, NC 28277 |
Salary:
$55K - $80K DOE |
Job
Requirements:
Minimum Requirements/Skills:
*BA/BS degree in Accounting/Business or equivalent experience
*2+ years of experience with customer / administration experience.
*Demonstrated problem solving skills with the ability to start analysis at a detail level and develop the big picture or to start at the big picture level and deconstruct into detail analysis
*Demonstrated analytical skills; must be extremely detail oriented & effective in production-oriented environment
*Exceptional customer orientation skills
*Proficient PC spreadsheet skills in a Windows environment, including Word, Excel & Access. Extensive use of Access or exposure to SQL Server / Oracle is preferred
*Expertise with databases and spreadsheet programs to perform analytics on data.
*Experience with programming languages such as Visual Basic and .NET in creating programs to perform analytics on data.
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