Data AnalystBusiness Analyst
Data AnalystBusiness Analyst
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Job Description
5 years of experience on Business Data Analyst
significant Banking & Commercial Lending experience and share resume with the info what commercial lending product candidate have worked
DA/BA with SQL (2 Positions)
US Banking ore banking platform FinacleRetail and Corporate lending Syndication loans Deposits etc.
Must
Commerical Lending
Must Have
Data Exploration
Must
Data Lineage
Must
Data Governance
Must
Data Quality
Must
Agile
Must
Tools used for Data Analysis
SQL Must
How did you showcase your findings
Excel OK Anything else like Tableau or Power BI helps
% of time spend in ETL
< 20% overall.
GAP analysis between as is and tobe process
Must
Databases
SQL Server Oracle Teradata
crossfunctional teams to understand business requirements and contribute to designing data solutions that meet their needs
Must
JD :
Mandatory: Data Analysis Experience in SQL Oracle/Teradata ETL technologies Experience working on SQL and ETL data warehouse applications.
- 7 years of experience on Business Data Analyst with an expertise in gathering Data requirements Data analysis Data profiling Data Mappings Data reconciliations and Data validations
- Experience in documenting business requirements and writing Business Requirement Document (BRD) Functional Requirement Documents (FRD) and Data Mappings Documents.
- Collaborating with crossfunctional teams to understand business requirements and contribute to designing data solutions that meet their needs.
- Experienced System/Data Analyst proficient in data wrangling data storytelling data visualization exploratory data analysis
- Expertise in GAP analysis between as is and tobe process
- Expertise in core banking platform FinacleRetail and Corporate lending Syndication loans Deposits etc.
- Extensive knowledge of data including investigation and analysis
- The ability to use SQL databases and good experience in ETL
- Collaborating with crossfunctional teams to understand business requirements and contribute to designing data solutions that meet their needs.
Employment Type
Full Time
