Data Analyst

Domain: Insurance & Finance

Experience:

• 7-9 years of experience as a Data Analyst, with at least 5 years supporting Finance within the insurance industry.
• Hands-on experience with Vertica/Teradata for querying, performance optimization, and large-scale data analysis.
• Advanced SQL skills: proficiency in Python is a strong plus.
• Proven ability to write detailed source-to-target mapping documents and collaborate with technical teams on data integration.
• Experience working in hybrid onshore-offshore team environments.
• Deep understanding of data modeling concepts and experience working with relational and dimensional models.
• Strong communication skills with the ability to clearly explain technical concepts to non-technical audiences.
• A strong understanding of statistical concepts, probability and accounting standards, financial statements (balance sheet, income statement, cash flow statement), and financial ratios.
• Strong understanding of life insurance products and business processes across the policy lifecycle.
• Investment Principles: Knowledge of different asset classes, investment strategies, and financial markets.
• Quantitative Finance: Understanding of financial modeling, risk management, and derivatives.
• Regulatory Framework: Awareness of relevant financial regulations and compliance requirements.