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# Data Analytics Consultant - P&C Insurance (Databricks)

- **Company:** Acunor Inc
- **Location:** Summit, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Python (Programming Language), Machine Learning, Power BI, Standard Sql, Service-Oriented Architecture, SQL Databases, Tableau (Software), Apache Spark, Information Technology, Data Analytics, Tools for Reporting, Databricks
- **Published:** July 16, 2026
- **Apply:** https://www.careerjet.com/jobad/use7acebfdb87d33f1e07568620ee42690

## About the Role

* 1 5 years of experience in P&C Insurance.
 * Master's degree in Data Science, Analytics, Statistics, Computer Science, or related field.
 * Strong SQL and Python skills.
 * Understanding of Claims, Policy, Exposure, and Premium data.
 * Strong analytical and problem-solving skills.
 * Excellent communication and teamwork skills.

Preferred Qualifications

 * Actuarial Exams (SOA/CAS) progress or completion.
 * Experience with Databricks, Spark, or Cloud Analytics Platforms.
 * Knowledge of Predictive Modeling, Machine Learning, and Statistics.
 * Experience with Power BI or Tableau.
 * Exposure to AI/ML solutions in Insurance.

Key Skills
P&C Insurance, Databricks, SQL, Python, Claims Analytics, Insurance Data, Predictive Modeling, Data Analytics, Spark, Machine Learning, Statistical Analysis, Data Modeling, Power BI, Tableau, Actuarial Analytics.

## Description

We are seeking a Data Analytics Consultant with strong P&C Insurance knowledge and analytical skills to support claims analytics, benchmarking solutions, predictive modeling, and data product development using Databricks and modern cloud analytics platforms. Key Responsibilities

 * Develop claims analytics and benchmarking solutions.
 * Build and maintain data models using Databricks.
 * Analyze insurance datasets and identify business insights.
 * Support predictive modeling and analytical workflows.
 * Collaborate with actuarial, business, and technology teams.
 * Develop reusable data products and reporting solutions.


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