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Key Responsibilities:
- Collaborate with business teams to gather requirements and define reporting needs
- Analyze policy, claims, premium, and customer data to identify trends and opportunities
- Translate insights into clear, actionable business recommendations
- Automate recurring reports and KPIs using SQL and BI tools
- Build and maintain dashboards in Power BI, Metabase, and Excel
- Conduct ad-hoc analysis on topics like loss ratios and customer churn
- Support strategic initiatives including campaign performance and business case evaluations
- Work closely with Data Engineers on data integration, flow, and quality
- Contribute to predictive modeling and advanced analytics with senior analysts/data scientists
- Uphold strong data governance practices, ensuring clean and consistent reporting
Qualifications:
- Bachelor's degree in Business, Computer Science, Statistics, or a related field
- 2–3 years of experience in the insurance industry
- Strong experience with Power BI, Metabase, and advanced Excel
- Proficiency in SQL and familiarity with relational databases (e.g., MSSQL)
- Experience with Python for data automation/analysis is a plus
- Strong analytical, problem-solving, and critical thinking skills
- Ability to tell stories with data—translating numbers into business value
- Effective communicator with both technical and non-technical stakeholders
- Knowledge of data governance frameworks and best practices
- Solid business acumen, especially in insurance KPIs and operations
- Exposure to predictive analytics or working with data science teams is a strong advantage
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