Job Title: Data Analyst / Technical Business Analyst
Job Summary:
We are looking for a skilled Data Analyst to support a large-scale data migration initiative within the banking and insurance domain. The role involves analyzing, validating, and transforming data from legacy systems to modern platforms, ensuring regulatory compliance, data integrity, and business continuity.
Key Responsibilities:
• Collaborate with business stakeholders, data architects, and IT teams to gather and understand data migration requirements.
• Analyze legacy banking and insurance systems (e.g., core banking, policy admin, claims, CRM) to identify data structures and dependencies.
• Work with large-scale datasets and understand big data architectures (e.g., Hadoop, Spark, Hive) to support scalable data migration and transformation.
• Perform data profiling, cleansing, and transformation using SQL and ETL tools, with the ability to understand and write complex SQL queries and interpret the logic implemented in ETL workflows.
• Develop and maintain data mapping documents and transformation logic specific to financial and insurance data (e.g., customer KYC, transactions, policies, claims).
• Validate migrated data against business rules, regulatory standards, and reconciliation reports.
• Support UAT by preparing test cases and validating migrated data with business users.
• Ensure data privacy and security compliance throughout the migration process.
• Document issues, risks, and resolutions related to data quality and migration.
Required Skills & Qualifications:
• Bachelor’s degree in Computer Science, Information Systems, Finance, or a related field.
• 5+ years of experience in data analysis or data migration projects in banking or insurance.
• Strong SQL skills and experience with data profiling and cleansing.
• Familiarity with ETL tools (e.g., Informatica, Talend, SSIS) and data visualization tools (e.g., Power BI, Tableau).
• Experience working with big data platforms (e.g., Hadoop, Spark, Hive) and handling large volumes of structured and unstructured data.
• Understanding of banking and insurance data domains (e.g., customer data, transactions, policies, claims, underwriting).
• Knowledge of regulatory and compliance requirements (e.g., AML, KYC, GDPR, IRDAI guidelines).
• Excellent analytical, documentation, and communication skills.
Preferred Qualifications:
• Experience with core banking systems (e.g., Finacle, Flexcube) or insurance platforms
• Exposure to cloud data platforms (e.g.,AWS, Azure, GCP).
• Experience working in Agile/Scrum environments.
• Certification in Business Analysis (e.g., CBAP, CCBA) or Data Analytics.
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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