Extend Information Systems Inc.

Senior Business/Data Analyst (Insurance Domain)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Business/Data Analyst (Insurance Domain) on a long-term contract, paying competitively. It requires 5+ years of experience in data analysis, advanced SQL, Python proficiency, and expertise in the insurance sector, with remote work in New York.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
February 26, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
New York, United States
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🧠 - Skills detailed
#Data Engineering #NumPy #Cloud #Pandas #Python #Scripting #Data Analysis #Snowflake #Business Analysis #PostgreSQL #SQL (Structured Query Language) #Microsoft Power BI #SQL Queries #Libraries #Visualization #Azure cloud #Data Science #Azure #AWS (Amazon Web Services) #Data Manipulation #Power Automate #SQL Server #"ETL (Extract #Transform #Load)" #BI (Business Intelligence) #Datasets #DAX
Role description
Job Title: Senior Business/Data Analyst (Insurance Domain) Location: New York (Remote) Duration: Long Term Contract Job Description: Role Overview The Senior BA/DA will act as a bridge between technical teams and business stakeholders, focusing on analyzing complex datasets, identifying trends, and creating actionable insights within the insurance sector. This role involves extensive data triaging (investigating, prioritizing, and resolving data anomalies) and building automated reporting solutions. Key Responsibilities β€’ Triaging and Analysis: Investigate complex data discrepancies, analyze root causes, and prioritize issues for resolution. β€’ Data Engineering/SQL: Write advanced SQL queries to extract and manipulate large-scale data from, preferably, Snowflake, PostgreSQL, or SQL Server environments. β€’ Python & Scripting: Utilize Python for data analysis, data manipulation, and automating routine data tasks. β€’ Reporting & Visualization: Develop, maintain, and manage interactive dashboards and reports using the Microsoft Power Platform (Power BI, Power Apps, Power Automate). β€’ Domain Expertise: Apply insurance industry knowledge (e.g., claims processing, policy management, underwriting data) to guide analysis. β€’ Stakeholder Management: Translate business requirements into technical requirements for engineering teams. Required Skills & Qualifications β€’ Experience: 5+ years of hands-on experience as a Data Analyst, Business Analyst, or similar role. β€’ Domain: Demonstrated experience in the Insurance or Financial Services sector. β€’ SQL: Advanced proficiency (complex joins, subqueries, optimization). β€’ Python: Proficient in data science libraries (Pandas, NumPy). β€’ Power Platform: Deep experience in Power BI (DAX) and Power Apps. β€’ Tools: Experience with data warehousing platforms (e.g., Snowflake, AWS/Azure cloud platforms).