Data As Service Analyst

HDFC Bank Limited; Mumbai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

HDFC Bank Limited is seeking a Data Remediation and DaaS specialist to enhance customer data quality and to design, implement, and maintain data marts on the Bank’s Data Lake. This role collaborates with business, marketing, credit and risk analytics, and regulatory reporting teams.

The ideal candidate will have 4–8 years of experience in data mart/pipeline/analytics creation, with strong SQL/Python skills, data modeling knowledge, and experience with BI tools. Banking background is preferred.

Qualifications

• 4–8 years of total work experience in Data Mart / Pipeline / Analytics creation.
• Experience in Banking and Financial services.
• Experience with Datalake & Cloud environment is a plus.
• Strong knowledge of data quality frameworks, data cleansing, and remediation techniques.

Responsibilities

• Improve customer data quality through remediation methodologies.
• Design, implement, and maintain data marts on the Bank’s Data Lake.
• Engage with multiple stakeholders to discover requirements of data marts.
• Support business, marketing, credit & risk analytics and regulatory reporting with reliable data.

Skills

Data quality

Self-starter

Analytical thinking

Stakeholder management

SQL

Python

ETL tools

Tableau/Power BI

Data governance

Data modeling

Tools

Tableau

Power BI

ETL tools

Job description

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 Bank’s Data Lake to support business, marketing, credit & risk, 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.

Engage with multiple business, product, credit, risk, analytics, marketing, finance, BIU etc. stakeholders to discover requirements of data marts alongwith the current challenges faced

• Drive for results and tangible outcomes
• Self-starter, having strong attention to detail and problem solving skills
• Strong knowledge of data quality frameworks, data cleansing, and remediation techniques
• Proficiency in SQL, Python, or other data manipulation languages
• Experience with ETL tools, data lakes, and data warehousing solutions
• Understanding of data modeling and database design
• Knowledge of data governance, compliance, and regulatory reporting requirements
• Experience with data visualization and reporting tools (Tableau, Power BI, etc.)
• Effective stakeholder management with cross-functional teams
• Strong analytical and problem-solving

4 years to 8 years of total work experience in Data Mart / Pipeline / Analytics creation

• Experience in Banking and Financial services
• Experience of working in large, multi-functional, matrix organization
• Strong technical & functional understanding of Data Remediation and Data Products that includes Staging, Mapping, Cleanse Function, Match Rules, Validation, Trust Scores, Remediation Techniques, Mart creation methodologies & best practices
• Experience with industry-leading reference & master data/metadata/data quality suites
• Exposure of working with Datalake & Cloud environment will be an added advantage