Senior Data Analyst with Insurance Domain
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst with expertise in the insurance domain, requiring strong SQL skills, experience with Snowflake, and proficiency in data validation and pipeline understanding. Contract length and pay rate are unspecified; location is hybrid in Jersey City, NJ.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 5, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Jersey City, NJ
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🧠 - Skills detailed
#SQL Queries #SQL (Structured Query Language) #Snowflake #Visualization #SQL Server #Data Analysis #UAT (User Acceptance Testing) #Agile #"ETL (Extract #Transform #Load)" #Stories #Data Pipeline #Data Quality #Data Manipulation
Role description
Senior Data Analyst
Jersey City, NJ (Hybrid)
Contract
Experience on Snowflake and Insurance Domain
• Data Analysis:
• Strong SQL skills to extract, transform, and analyze data. (SQL Server, Snowflake)
• Develop and maintain complex SQL queries to address business questions and generate insights.
• Utilize Excel for data manipulation, visualization, and reporting.
• Data Validation:
• Conduct thorough user acceptance testing to ensure data quality and accuracy.
• Validate data pipelines and processes to identify and resolve issues.
• Data Pipeline Understanding:
• Demonstrate a strong understanding of data pipelines and ETL processes.
• Collaborate with software engineers to optimize data flow and performance.
• Requirement Gathering:
• Excellent Communication Skills
• Collaborate closely with business partners to understand their data needs and objectives.
• Elicit, document, and prioritize requirements for data-driven initiatives.
• Facilitate workshops and interviews to gather stakeholder input.
• Create Users Stories and work with developers in an Agile Product Oriented life cycle
Senior Data Analyst
Jersey City, NJ (Hybrid)
Contract
Experience on Snowflake and Insurance Domain
• Data Analysis:
• Strong SQL skills to extract, transform, and analyze data. (SQL Server, Snowflake)
• Develop and maintain complex SQL queries to address business questions and generate insights.
• Utilize Excel for data manipulation, visualization, and reporting.
• Data Validation:
• Conduct thorough user acceptance testing to ensure data quality and accuracy.
• Validate data pipelines and processes to identify and resolve issues.
• Data Pipeline Understanding:
• Demonstrate a strong understanding of data pipelines and ETL processes.
• Collaborate with software engineers to optimize data flow and performance.
• Requirement Gathering:
• Excellent Communication Skills
• Collaborate closely with business partners to understand their data needs and objectives.
• Elicit, document, and prioritize requirements for data-driven initiatives.
• Facilitate workshops and interviews to gather stakeholder input.
• Create Users Stories and work with developers in an Agile Product Oriented life cycle
