Posted:1 week ago|
Platform:
Work from Office
Full Time
HDFC Bank has huge volume of data, both structured and unstructured, and we are focused on creating assets out of data and deriving best value from the data for the Bank. The Data Remediation and DaaS specialist will be responsible for improving customer data quality through various internal data remediation methodologies. This role will also focus on designing, implementing, and maintaining global and local data marts on the Banks Data Lake to support business, marketing, analytics, regulatory, and other functional use cases. This role is crucial in ensuring high-quality customer data while enabling business functions with reliable and well-structured data marts. The ideal candidate will be someone with a passion for data quality, strong technical skills, and a strategic mindset to drive data-driven decision-making across the Bank.
Customer Data Quality Management • Analyze and assess data quality issues in customer records • Implement data cleansing, standardization, and deduplication strategies. • Monitor and improve the accuracy, completeness, and consistency of customer data.
Formulate Data Remediation Strategies • Conduct root cause analysis to identify sources of poor data quality. • Coordinate with internal stakeholders to drive data improvement initiatives.
Data Mart Development & Maintenance • Engage with multiple business, product, credit, risk, analytics, marketing, finance, BIU etc. stakeholders to discover requirements of data marts along with the current challenges faced
Providing inputs and recommendation on continuous improvement of policies, procedures, processes, standards, and control pertaining to Data Marts Quantify the impact in business value terms (revenue/cost/loss) due to launch of global and loc
Mapping, Cleanse Function, Match Rules, Validation, Trust Scores, Remediation Techniques, Mart creation
methodologies & best practices etc
Hdfc Bank
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