Analyst
- Must have - Strong RDBMS experience: Oracle; SQL (Advanced), mongoDB(basic)
- Must have - Strong experience in use of Big Data HDFS based platform for data analysis and investigations
- Must have - Ability to write complex SQL needed to investigate data issues, repair damaged data, and migrate data to new structures
- Experience in large Data Warehouses or Big Data Lakes (30+ TB) and Front/Middle/Back-office systems
- Domain knowledge in Finance, Risk Management and/or Regulatory Reporting in the Banking industry
- Excellent written and oral communication skills, including use of Excel for presentation of data and mappings
- Passion to deliver results in a complex enterprise application / environment
- Able to work with global teams across different regions
- Analyzing large datasets to identify trends, patterns, and opportunities, and using data insights to inform and drive strategic decision-making.
- Advanced knowledge of SQL, Python, R, and other programming languages relevant to data analysis.
- Managing data-related projects from initiation to completion.
- Develop mappings of sources to target databases, including documentation of transformation rules.
- Communicate regularly with architects and modelers working in parallel tracks to maintain consistency of models and other deliverable
- Interact with globally diversified team spread over many international locations and time-zones
- Ensuring high quality software development, with complete documentation and traceability
- Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
- Working with business partners and other stakeholders to understand and document requirements
- Working with project managers and support teams to meet delivery targets
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