Finance Risk Data Analyst
Company Name:
Digital Intelligence Systems, LLC (DISYS)
We are looking for a Finance/Risk Technical Data Analyst
Mid to senior level (5-8
years experience) as Data Analyst within Finance/Risk environment
Should have the following:
Finance environment experience
Built or audited large complex data sets
Understand risk levels within data flows and how to assess these risks
Experience with large amounts of data and building large data flows in complex environment
building large data warehouses so they understand controls needed and issues that arise (operational experience and/or development experience)
Must have familiarity with one of the following QUERY TOOLS:
SAS PC/Unix
Trillium
QuestSoftware Toad
Embarcadero RapidSQL
DBArtisan
IBM TOOL - Cognos Insight (Going to this - brand new)
Need understanding of: ETL platforms such as Informatica
MUST have understanding of large data intensive projects and experience in implementation of information technology projects including UAT testing phase.
Need experience in database environment - they will walk into different clients and request data and need to be able to speak their language and convert data within SQL, Access, and/or Excel, look into queries and look into codemust be able to learn and adapt in different environments
Pluses: CCAR, Reg W, AML or any regulatory related implementations
Experience in raw data analysis. Very Strong knowledge of SQL, Excel (Macro's, VB scripts), strong experience with MS Access, good programming skills. Good understanding of various data management/processing technologies; ability to reverse engineer and replicate the process. Audit or equivalent experience, involving transaction testing. For example, experience with Computer Assisted Audit Tools.
If you or anyone you know is interested, please contact me!
LORIE GIRONDA
Technical Recruiter
Digital Intelligence Systems, LLC (DISYS)
1815 S. Meyers, Suite 450
Oakbrook Terrace, IL 60181
(o) 630.705.1684 (c) 312.804.0503 www.disys.com
Estimated Salary: $20 to $28 per hour based on qualifications.
Digital Intelligence Systems, LLC (DISYS)
We are looking for a Finance/Risk Technical Data Analyst
Mid to senior level (5-8
years experience) as Data Analyst within Finance/Risk environment
Should have the following:
Finance environment experience
Built or audited large complex data sets
Understand risk levels within data flows and how to assess these risks
Experience with large amounts of data and building large data flows in complex environment
building large data warehouses so they understand controls needed and issues that arise (operational experience and/or development experience)
Must have familiarity with one of the following QUERY TOOLS:
SAS PC/Unix
Trillium
QuestSoftware Toad
Embarcadero RapidSQL
DBArtisan
IBM TOOL - Cognos Insight (Going to this - brand new)
Need understanding of: ETL platforms such as Informatica
MUST have understanding of large data intensive projects and experience in implementation of information technology projects including UAT testing phase.
Need experience in database environment - they will walk into different clients and request data and need to be able to speak their language and convert data within SQL, Access, and/or Excel, look into queries and look into codemust be able to learn and adapt in different environments
Pluses: CCAR, Reg W, AML or any regulatory related implementations
Experience in raw data analysis. Very Strong knowledge of SQL, Excel (Macro's, VB scripts), strong experience with MS Access, good programming skills. Good understanding of various data management/processing technologies; ability to reverse engineer and replicate the process. Audit or equivalent experience, involving transaction testing. For example, experience with Computer Assisted Audit Tools.
If you or anyone you know is interested, please contact me!
LORIE GIRONDA
Technical Recruiter
Digital Intelligence Systems, LLC (DISYS)
1815 S. Meyers, Suite 450
Oakbrook Terrace, IL 60181
(o) 630.705.1684 (c) 312.804.0503 www.disys.com
Estimated Salary: $20 to $28 per hour based on qualifications.
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