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# DATA SCIENTIST LEAD L2

- **Company:** Wipro Limited
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Salary:** $80,000.0 - $158,000.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Big Data, Cloudera Impala, Data Validation, Data Governance, Data Mapping, Data Profiling, Data Systems, Data Warehousing, IBM DB2, Database Queries, Document-Oriented Databases, Apache Hive, Microsoft SQL Server, Oracle (Applications), Scrum Methodology, Systems Development Life Cycle, SQL Stored Procedures, SQL Databases, Sql Optimization, Snowflake, Sap Business Objects, Data Lakes
- **Published:** July 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=82524c9ff5e20db4

## About the Role

10+ years of experience in Data Analysis, Business Analysis, Data Warehousing, or Regulatory/Data Reporting .

Strong experience in:
Data Analysis and Data Profiling
Data Mapping and Data Validation
Data Quality Management
Business Requirements Gathering
Root Cause Analysis
Data Warehousing Concepts
Regulatory and Management Reporting
Advanced SQL expertise with hands-on experience writing complex queries, stored procedures, and data validation logic.

Experience with databases and analytical platforms such as:
SQL Server
Oracle
Snowflake
Hive / Impala
DB2
Hands-on experience with reporting and visualization tools such as:
Power BI
Tableau
Business Objects or equivalent BI platforms
Experience with Python for data analysis, automation, and data quality validation.
Strong understanding of SDLC, Agile/Scrum methodologies, and stakeholder management
Experience in Banking, Capital Markets, Risk, Compliance, Loans, Regulatory Reporting, or Financial Services domains.
Exposure to AML, KYC, OFAC, Transaction Monitoring, Risk Reporting, or Compliance Analytics.

Mandatory Skills: Data Analysis .

Experience: 8-10 Years .

## Description

We are seeking an experienced Senior Data Analyst to drive data-driven decision-making through advanced data analysis, business requirement gathering, data quality assessment, reporting, and insights generation. The ideal candidate will possess strong expertise in SQL, data warehousing, data mapping, data governance, business analysis, and stakeholder management within large-scale financial services or enterprise environments., Partner with business stakeholders to gather, analyze, and document data and reporting requirements.
Analyze large and complex datasets to identify trends, anomalies, data quality issues, and business insights
Perform data profiling, reconciliation, validation, and root cause analysis across multiple source systems.
Develop detailed data mapping documents, business rules, and source-to-target transformation specifications
Create and maintain reports, dashboards, KPIs, and analytical solutions to support business and regulatory reporting needs.
Work closely with Data Engineers, Developers, QA teams, and Product Owners to deliver end-to-end data solutions.
Support data warehouse, data lake, and enterprise reporting initiatives through data analysis and validation activities
Translate business requirements into functional and technical specifications, user stories, and acceptance criteria.
Ensure adherence to data governance, metadata, compliance, and regulatory reporting standards.


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