Key Responsibilities: Lead for audit department’s data enablement and assigned automation projects. 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. Responsible for leading 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 Work with large data sets, understand common data quality issues/ cleansing techniques and work with data to discover trends, patterns. Liasoning 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. Coordinate for all stages of project development including system design, development, testing, training, roll out and post-implementation support. 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 - Minimum 4 to 5 years relevant data analytics experience, EDW concepts, good understanding of data mining and programming languages such as python, oracle sql Hands on experience working with visualization tools power BI, SAP BO Should have a good understanding of software development life cycle. Prior experience in business requirement gathering, UAT etc. Having good academic record and certifications on data analytics/ data science from a reputed university Background knowledge of financial sector at large required, additionally banking knowledge preferred Excellent communication and inter-personal skills are a must to deal with various cross-functional teams and external vendors Engineering degree + MBA preferred Show more Show less