- Degree in Business Computing, Computer Science, or equivalent;
- 3-5 years of experience in data/business analysis and testing in banking industry;
- Proficient in SQL and Microsoft Office;
- Experience in liaising with IT and users;
- Maintain strong analytical, problem-solving, and communicating skills;
- Develop and perform SIT/UAT test cases for data quality rules;
- Self-motivated, resourceful, and possess exquisite time management skills.
- Knowledge in Data Warehousing, BI tools, Big Data platforms;
- Familiar with Metadata tools.
- Gathering and documenting business requirements & functional specifications on data related initiatives;
- Perform data investigation and data analysis to support Bank wide users' queries on EDAG;
- Perform data profiling and gap analysis, source to target mappings, data issue capturing, resolution and escalation;
- Provide end-to-end project delivery support, including requirements walkthrough, user acceptance testing;
- Execute data analysis and data investigation;
- Conduct end-to-end User Acceptance Test (UAT) process;
- Manage business glossary and dashboards for review and analytical purposes;
- Assist the entire project implementations.
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Data Analyst - Singapore - SCIENTE INTERNATIONAL PTE. LTD.
Description
Roles & ResponsibilitiesJob Summary:
We are seeking for a self-motivated Data Analyst with data management and testing experience within the banking and financial industry.
Mandatory Skill-set:
Desired Skill-set:
Responsibilities:
Should you be interested in this career opportunity, please send in your updated resume to at the earliest.
When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE's website ).
Confidentiality is assured, and only shortlisted candidates will be notified for interviews.
EA Licence No. 07C5639
Tell employers what skills you haveUAT
Microsoft Office
Data Analysis
Big Data
Data Management
Investigation
Data Quality
Test Cases
SQL
Banking
User Acceptance Testing
Metadata
Project Delivery
Data Warehousing
Business Requirements