
Data Quality Specialist
2 weeks ago
Responsibilities:
- Collaborate with cross-functional teams and external partners to develop and implement automation projects, ensuring timely solutions.
- Coordinate project development stages, including system design, testing, training, roll out, and post-implementation support.
- Identify gaps in existing systems and processes, gather feedback from stakeholders, and suggest improvements.
- Analyze large datasets, identify common data quality issues, and apply cleansing techniques.
- Responsible for extracting, enabling, and analyzing audit-related data using innovative solutions to provide insights throughout the audit process.
Requirements:
- Minimum 3-5 years of experience in data analytics, EDW concepts, and programming languages like Python and Oracle SQL.
- Hands-on experience working with visualization tools like Power BI and SAP BO.
- Strong understanding of software development life cycles and prior experience in business requirement gathering and UAT.
- Good academic record and certifications in data analytics or data science from a reputable institution.
- Background knowledge of the financial sector is required; banking knowledge is preferred.
- Excellent communication and interpersonal skills are essential for collaboration with cross-functional teams and external partners.
- Engineering degree plus an MBA is highly desired.
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