The Data Analyst role requires extensive experience in finance within the insurance sector, advanced SQL skills, and collaboration on data integration projects.
- 8+ 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.
Top Skills
Python
SQL
Teradata
Vertica
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