Job
Title : Data
Analyst
Location
: Greensboro,
NC
Duration : 6+months
Duration : 6+months
Experience : 8-10 Years
Mandatory
Skills:
1.) Finance industry experience required
2.) Exposure to information analyzer
3.) Data profiling
4.) SQL
2.) Exposure to information analyzer
3.) Data profiling
4.) SQL
Skills
Required:
•
8 – 10 years of experience with data analysis, data quality and data warehouse
usage
• Financial sector (specifically Mortgage Insurance) experience
• Experience with IBM’s Infosphere Product Suite (Datastage, Information Analyzer)
• Experience with SAS for analytics and interfacing with other analytic platforms
• Experience using the Oracle database engine for analytics and data warehousing
• Excellent communication and presentation skills
Job Description:
This position is for Data Analyst role with United Guaranty O&S Enterprise Data Management. Candidate needs to have strong problem solving skills.
Candidate will be expected to :
• Determining the root cause of a data quality problem that utilizes multiple disparate data sources/platforms.
• Creation of a data quality rule and solution to ensure that target data models provide accurate and fit to purpose data.
Tasks Breakdown
• Design, develop and deploy data quality and translation rules 25%
• Gather requirements for data reporting and data quality from Business units 25%
• Monitor and report on Data Quality and ETL statistics 25%
• Be the interface between the Business, ETL developers and Data Modelers 25%
• Financial sector (specifically Mortgage Insurance) experience
• Experience with IBM’s Infosphere Product Suite (Datastage, Information Analyzer)
• Experience with SAS for analytics and interfacing with other analytic platforms
• Experience using the Oracle database engine for analytics and data warehousing
• Excellent communication and presentation skills
Job Description:
This position is for Data Analyst role with United Guaranty O&S Enterprise Data Management. Candidate needs to have strong problem solving skills.
Candidate will be expected to :
• Determining the root cause of a data quality problem that utilizes multiple disparate data sources/platforms.
• Creation of a data quality rule and solution to ensure that target data models provide accurate and fit to purpose data.
Tasks Breakdown
• Design, develop and deploy data quality and translation rules 25%
• Gather requirements for data reporting and data quality from Business units 25%
• Monitor and report on Data Quality and ETL statistics 25%
• Be the interface between the Business, ETL developers and Data Modelers 25%
ArimaaForce LLC.,
USA
| India
resumes@arimaaforcellc.com
