Insurance Data Analyst, HOA

New

JobgetherHomeowners insurance

Based in India, 4 core U.S. hours of overlap from 7:30 PM–11:30 PM IST and 4 flexible hoursFull-TimeMiddle

Salary693,800 - 971,300 INR per year

Apply NowOpens the employer's application page

Job Details

Languages: Strong written and verbal English communication skills
Experience: At least 3 years of professional experience, including 1+ years working in personal lines insurance within data analysis, actuarial, product analytics, or a related function.
Required Skills: PythonSQLMicrosoft Power BIMicrosoft SQL ServerMicrosoft ExcelBigQueryR

Bachelor’s degree in Business, Finance, Economics, Statistics, Actuarial Science, or a related discipline.
At least 3 years of professional experience, including 1+ years working in personal lines insurance within data analysis, actuarial, product analytics, or a related function.
Strong SQL capabilities and hands-on experience using BigQuery and/or SQL Server.
Advanced experience developing, maintaining, and interpreting Power BI dashboards and reports.
Advanced Excel capabilities and strong Microsoft Office skills.
Proficiency in Python or R for analytical work, automation, or data processing.
Familiarity with AI-powered tools for research, analysis, and productivity.
Experience working with global and/or U.S.-based business teams.
Strong written and verbal English communication skills, including explaining analytical findings to business stakeholders.
Ability to independently manage complex problems, determine approaches, and make sound decisions with limited direction.
Ability to work approximately 8 hours per day, including 4 core U.S. hours of overlap from 7:30 PM–11:30 PM IST and 4 flexible hours.
Reliable remote-work setup with a quiet workspace and internet connectivity of at least 30 Mbps download and 10 Mbps upload.

Write, maintain, and optimize SQL queries across BigQuery and SQL Server for reporting, business analysis, and ad hoc requests.
Build and maintain Power BI dashboards tracking insurance KPIs, including quotes, binds, retention, premium, and business mix.
Conduct descriptive and diagnostic analyses to identify trends, performance drivers, anomalies, and opportunities.
Evaluate product and business changes using cohort, pre/post, and trend analysis.
Gather, organize, analyze, and summarize competitor information to inform pricing and product decisions.
Partner with Product Managers and business leaders to turn findings into actionable recommendations.
Maintain data accuracy and integrity through quality checks, reconciliations, source validation, and documentation.
Work independently on complex cross-functional issues and proactively identify problems and opportunities.
Use Python or R and AI-enabled tools to improve research, analysis, and operational efficiency.

View Full Description & ApplyYou'll be redirected to the employer's site