What are the responsibilities and job description for the Data Analyst/Business Analyst position at Cloudious LLC?
Job Description
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 Finacle-Retail 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
GAP analysis between as is and to-be process
Must
Databases
SQL Server, Oracle , Teradata
cross-functional 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 cross-functional 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 to-be process
- Expertise in core banking platform Finacle-Retail 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 cross-functional teams to understand business requirements and contribute to designing data solutions that meet their needs.
