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Regular or Temporary:

Regular

Language Fluency:  English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

Build, prepare, and deliver data to LOB for consumption and analysis, including remediation of bank errors (regulatory), client segment / behavior and financial analyses, Operational reporting processes and business case development. Collaborate with cross functional teams to collect, analyze, and interpret complex data to help drive strategic business decisions.

Following is a summary of the essential functions for this job.  Other duties may be performed, both major and minor, which are not mentioned below.  Specific activities may change from time to time. 
List the major responsibilities generally associated with the role (5-7 major responsibilities with no more than 10) that an incumbent in this job is expected to accomplish.  Please use numbers to separate each distinct responsibility. 

 1. Gather and construct Data requirements to support automations and platform conversions.

2. Interpret data, analyze results using statistical techniques and provide ongoing analysis.
3. Identify, analyze, and interpret trends or patterns in complex data sets.
4. Advocate and support a data-driven culture with self-service analytical capabilities.
5. Support and provide data and information for client remediation activities. 
6. Partner on data platform conversions and automations.
7. Provide Data ownership and accountability, as well as SME across data platforms.

 

QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Proven working experience as a data analyst or business data analyst.
2. 10+ Years of experience with SAS or any other Data analysis tools.
3. Adept at queries, report writing and presenting findings.
4. BS in Mathematics, Economics, Computer Science, Information Management or Statistics.
5. Technical expertise regarding data models, database design development, data mining and segmentation techniques
6. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
7. Good understanding of Data modeling and Data marts and Data warehouse concepts.Preferred Qualifications:
1. Experience in working with BIG-DATA tools.
2. Experience with all aspects of the software development life cycle including various documentation techniques, participating in testing activities, and developing metadata
3. Subject matter expertise in Payment Industry.HIGHLY PREFERRED QUALIFICATIONS:

1.      Experience with all aspects of the software development life cycle including various documentation techniques, participating in testing activities, and developing metadata

2.      Subject matter expertise in Banking Industry.

3.      Experience with data platforms like Snowflake or AWS

4.      Advanced proficiency in SQL for data extraction and manipulation.

5.      Experience with data warehousing concepts and ETL processes.

6.