Data Analyst / Engineer
Leads enterprise-wide data engineering, analytics, and regulatory reporting for a fintech firm, designing scalable data pipelines, BI dashboards, and ensuring data quality/governance in banking domains like lending, risk, and payments.
- Compensation
- Not disclosed
- Location
- Bangalore, Karnataka, India
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data analytics
- Posted
Skills
Must have
- 8+ years of experience in Data Engineering, Data Analytics, Data Warehousing, and BI Reporting environments
- Strong hands-on expertise in DataIKU, MicroStrategy, Oracle, SQL, ODI, TWS, and Reporting & BI platforms
- Extensive experience in Banking and Financial Services organizations
- Strong functional understanding of Lending, Risk, Securities, Tax, Payments, Treasury, and Customer Data domains
- Experience supporting regulatory reporting, management reporting, and enterprise analytics platforms
- Proven leadership experience managing global teams and stakeholder engagements
Nice to have
- Business Objects
- Jira
- ServiceNow
- Git
- DevOps Practices
Full description
Who We Are
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
The Role
We are seeking a highly experienced Senior Lead Data Engineer / Data Analyst to lead enterprise-wide data engineering, analytics, reporting, and regulatory data initiatives within the Banking and Financial Services domain. The ideal candidate will possess strong expertise in Data Engineering, Python, SQL, PLSQL, ETL/ELT, Snowflake, Data Warehousing, MicroStrategy Reporting & BI, ODI, and Data Analytics, coupled with deep functional knowledge across Lending, Risk, Securities, Tax, Payments, Treasury, and Customer Data Management.
This role will be responsible for driving data strategy, data integration, business intelligence, regulatory reporting, and stakeholder engagement while ensuring data quality, governance, and operational excellence across critical banking data platforms
Key ResponsibilitiesData Engineering & Data Platform Management
- Lead the design, development, and enhancement of enterprise data warehouse and data lake solutions.
- Build and support scalable data pipelines, ETL/ELT frameworks, and reporting data marts.
- Drive data integration initiatives across multiple banking platforms and source systems.
- Establish data quality, reconciliation, lineage, metadata, and governance standards.
- Ensure high availability, scalability, and performance of enterprise data platforms.
Data Analysis & Business Intelligence
- Analyze large and complex datasets to generate business insights and support decision-making.
- Develop reporting frameworks, executive dashboards, KPI scorecards, and management information systems.
- Perform data profiling, trend analysis, root cause analysis, and business impact assessment.
- Translate business requirements into actionable analytical and reporting solutions.
- Partner with business stakeholders to improve reporting accuracy and operational efficiency.
Oracle & SQL Development
- Design and optimize Oracle database solutions supporting enterprise reporting and analytics.
- Develop complex SQL and PL/SQL programs, procedures, packages, functions, and performance tuning solutions.
- Perform data extraction, validation, transformation, and reconciliation activities.
- Troubleshoot database performance, data integrity, and reporting-related issues.