WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence – WNS’ core differentiator – with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.

We are seeking a detail-oriented Risk Data Analyst / Data Operations Analyst to support reporting, data analysis, and data management activities within a Risk-focused business function. The ideal candidate will possess strong expertise in Advanced Excel, working knowledge of SQL, and hands-on experience handling large datasets. Experience with Tableau will be an added advantage.

This role requires a high degree of accuracy, analytical thinking, stakeholder management, and the ability to convert complex data into meaningful business insights. The individual will play a critical role in supporting reporting, data reconciliation, data quality management, and business decision-making processes.

Key Responsibilities

• Extract, validate, transform, and analyze data from multiple internal and external data sources.
• Prepare, maintain, and enhance regular MIS reports, dashboards, and ad-hoc analytical reports.
• Analyze large datasets to identify trends, anomalies, risks, and business insights.
• Perform data quality checks and ensure accuracy, completeness, and consistency of reporting outputs.
• Conduct data reconciliation activities and investigate data discrepancies.
• Collaborate with business stakeholders to gather reporting requirements and provide analytical support.
• Support Risk and business teams with data-driven insights for strategic and operational decision-making.
• Maintain reporting documentation, process notes, standard operating procedures, and data dictionaries.
• Ensure timely delivery of reports while adhering to data governance and quality standards.
• Participate in process improvement and reporting automation initiatives.
• Communicate findings and recommendations effectively to business stakeholders and clients.

Mandatory Skills

Advanced Excel

• Pivot Tables
• VLOOKUP / HLOOKUP
• XLOOKUP
• INDEX-MATCH
• Complex Excel Formulas
• Data Validation
• Data Reconciliation
• Reporting & MIS Preparation

SQL (Basic to Intermediate)

• SELECT Statements
• JOINs
• Aggregations
• Data Filtering
• Data Extraction

Core Competencies

• Strong analytical and problem-solving abilities
• Excellent verbal and written communication skills
• Client-facing and stakeholder management experience
• Strong attention to detail and data accuracy
• Ability to work independently in a fast-paced environment
• Experience handling large volumes of structured data

Graduate or above

Good to Have

• Tableau Dashboard Development
• Data Visualization and Storytelling
• Reporting Automation
• Process Improvement Initiatives
• Exposure to Data Governance and Data Quality Frameworks
• Experience in Insurance, Risk Management, Banking, Financial Services, or similar domains

Preferred Qualifications

• Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, Commerce, Finance, or a related discipline.
• Relevant certifications in Data Analytics, SQL, Tableau, or Business Intelligence will be an advantage.