Arkhya Tech. Inc.
Business Analyst – Data Engineering, Hybrid in Iselin NJ
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Analyst – Data Engineering, hybrid in Iselin, NJ, for 12–15 years experienced candidates. The pay rate is unspecified. Key skills include financial services expertise in fixed income, SQL, and data engineering.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 20, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Iselin, NJ
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🧠 - Skills detailed
#Business Analysis #Data Modeling #Visualization #Cloud #Data Engineering #"ETL (Extract #Transform #Load)" #Project Management #Data Quality #SQL (Structured Query Language) #Data Pipeline
Role description
Business Analyst – Data Engineering
Iselin, NJ (Hybrid)
Experience: 12–15 Years
Summary:
Seeking an experienced Business Analyst with strong data engineering expertise in the financial domain, specializing in fixed income products (loans, corporate bonds, treasuries).
Key Responsibilities:
• Align data solutions with business goals
• Oversee data pipelines and ensure data quality
• Translate business requirements into data solutions
• Guide and support data engineering teams
Required Skills:
• 5+ years in financial services (fixed income)
• Strong SQL and data movement experience
• Expertise in data quality, data engineering, and business analysis
Preferred:
Cloud platforms, ETL tools, data modeling, visualization, and project management
Business Analyst – Data Engineering
Iselin, NJ (Hybrid)
Experience: 12–15 Years
Summary:
Seeking an experienced Business Analyst with strong data engineering expertise in the financial domain, specializing in fixed income products (loans, corporate bonds, treasuries).
Key Responsibilities:
• Align data solutions with business goals
• Oversee data pipelines and ensure data quality
• Translate business requirements into data solutions
• Guide and support data engineering teams
Required Skills:
• 5+ years in financial services (fixed income)
• Strong SQL and data movement experience
• Expertise in data quality, data engineering, and business analysis
Preferred:
Cloud platforms, ETL tools, data modeling, visualization, and project management
