
Senior Data Analytics Manager
1 week ago
Job Opportunity:
We are seeking a highly skilled and experienced professional to fill the role of Data Analytics Manager. The ideal candidate will have a strong background in data analytics, AI/ML, and RPA, with a focus on driving strategic benefits in audit quality, efficiency, and value creation.
- Key Responsibilities:
- Audit Data Management: Actively work with latest technologies and leading practices specific to analytics, data visualization, AI/ML, and RPA to drive strategic benefits in the area of audit quality, efficiency, and value creation.
- Data Insights: Responsible for audit related data extractions, enablement, analytics, and data visualisations/dashboarding efforts using creative and innovative solutions to provide insights and analysis throughout the audit process.
- Data Analysis: Work with large data sets, understand common data quality issues/cleansing techniques, and work with data to discover trends, patterns.
- Collaboration: Liasioning with internal business auditors, auditee teams, DWH IT teams, and external vendors on an on-going basis for extending support to existing & future automation projects and seek timely solutions.
- Project Coordination: Coordinate for all stages of project development including system design, development, testing, training, roll out, and post-implementation support.
- Process Improvement: Identify the gaps in projects post GO LIVE & gather feedback from user groups for suggesting improvements as needed, conduct appropriate user training/contact programs to ensure that high level of system adoption.
Required Skills and Qualifications:
The ideal candidate will possess the following qualifications:
- Experience: Minimum 3 to 5 years relevant data analytics experience, EDW concepts, good understanding of data mining, and programming languages such as python, oracle sql.
- Technical Skills: Hands-on experience working with visualization tools power BI, SAP BO.
- Education: Good academic record and certifications on data analytics/data science from a reputed university.
- Background Knowledge: Background knowledge of financial sector at large required; additionally banking knowledge preferred.
- Communication Skills: Excellent communication and inter-personal skills are a must to deal with various cross-functional teams and external vendors.
- Qualifications: Engineering degree + MBA preferred.
Benefits:
This role offers a challenging and rewarding opportunity to drive strategic benefits in audit quality, efficiency, and value creation. The successful candidate will have the opportunity to work with the latest technologies and leading practices in data analytics, AI/ML, and RPA.
Other Opportunities:
The company is committed to providing a dynamic and supportive work environment, with opportunities for professional growth and development.
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