Acunor

Data Analytics Consultant – P&C Insurance (Databricks)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analytics Consultant – P&C Insurance (Databricks) in Summit, NJ, on a long-term contract. Requires 1-5 years of Property & Casualty Insurance experience, a Master’s in a relevant field, and strong SQL and Python skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Summit, NJ
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🧠 - Skills detailed
#Datasets #Data Analysis #AI (Artificial Intelligence) #Computer Science #Data Science #Microsoft Power BI #BI (Business Intelligence) #Spark (Apache Spark) #Databricks #Mathematics #Cloud #Predictive Modeling #Python #ML (Machine Learning) #SQL (Structured Query Language) #Tableau #"ETL (Extract #Transform #Load)" #Statistics
Role description
Acunor is Hiring: Data Analytics Consultant – P&C Insurance (Databricks) Location: summit, NJ(Onsite) Duration: Long-Term Contract Experience: 1–7 Years We are looking for a Data Analytics Consultant with a strong Property & Casualty Insurance background to support next-generation analytics initiatives, claims analytics, benchmarking solutions, and data product development. Develop and enhance claims analytics and client benchmarking solutions Build, validate, and maintain data models using Databricks Prepare and transform insurance datasets for analytics and reporting Collaborate with actuarial, business, and technology teams Support development of reusable data products and analytical assets Perform data analysis to identify trends, patterns, and business insights Must Have Skills ✔ 1–5 years of Property & Casualty Insurance experience ✔ Master’s degree in Data Science, Analytics, Statistics, Computer Science, Applied Mathematics, or related field ✔ Strong SQL and Python skills ✔ Understanding of claims, policy, premium, and exposure data ✔ Strong analytical and problem-solving abilities Preferred Skills Experience with Databricks, Spark, or cloud analytics platforms Progress toward or completion of actuarial exams (SOA/CAS) Predictive modeling, machine learning, or statistical analysis experience Power BI or Tableau exposure AI/ML experience in insurance environments