KPG99 INC
Lead Data Analyst :: Onsite in NJ
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Analyst with 10+ years of experience in data analysis and warehousing, strong SQL skills, and expertise in P&C insurance. Contract length and pay rate are unspecified; work is onsite in NJ.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 2, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New Jersey, United States
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🧠 - Skills detailed
#SQL (Structured Query Language) #SQL Server #Databases #Data Analysis #Cloud #Snowflake #AWS (Amazon Web Services) #Data Modeling #Informatica #Data Mapping #"ETL (Extract #Transform #Load)" #Oracle
Role description
Must Haves
• 10+ years of experience in data analysis, data warehousing, or related technical roles
• Strong expertise in SQL and relational databases (e.g., DB2, SQL Server, Oracle, Snowflake)
• Proven experience working within structured SDLC frameworks, including estimation and planning
• Advanced data modeling and data mapping experience
• Hands-on experience with ETL processes and tools such as Informatica or similar platforms
• Solid understanding of cloud-based data environments, particularly AWS
• Deep knowledge of Property & Casualty (P&C) insurance domains, including policy and claims lifecycle
• Strong testing experience across unit, integration, and user acceptance phases
• Demonstrated ability to manage projects independently from analysis through delivery
Must Haves
• 10+ years of experience in data analysis, data warehousing, or related technical roles
• Strong expertise in SQL and relational databases (e.g., DB2, SQL Server, Oracle, Snowflake)
• Proven experience working within structured SDLC frameworks, including estimation and planning
• Advanced data modeling and data mapping experience
• Hands-on experience with ETL processes and tools such as Informatica or similar platforms
• Solid understanding of cloud-based data environments, particularly AWS
• Deep knowledge of Property & Casualty (P&C) insurance domains, including policy and claims lifecycle
• Strong testing experience across unit, integration, and user acceptance phases
• Demonstrated ability to manage projects independently from analysis through delivery
