Insight Global
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst position for a 3-month hybrid contract in NYC, requiring expertise in Python, SQL, and PySpark. Key skills include ETL/ELT pipeline development, data governance, and collaboration with cross-functional teams.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
320
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🗓️ - Date
July 2, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#Data Architecture #Security #Python #Compliance #Data Governance #Scala #SQL (Structured Query Language) #Automated Testing #Data Analysis #ML (Machine Learning) #Data Pipeline #Spark (Apache Spark) #Azure #"ETL (Extract #Transform #Load)" #DevOps #PySpark #Data Science #Data Quality #Data Engineering #Azure DevOps
Role description
HYBRID IN NYC, 3 MONTH CONTRACT (POSSIBLE EXTENSION), DATA ANALYST/ENGINEER
Day-to-Day
The Data Engineering team at one of our non-profit organizations is seeking an experienced Data Analyst/Engineer to join our team. The ideal candidate will bring strong expertise in Python development for data-intensive applications, including hands-on proficiency with SQL and PySpark.
This role involves building scalable data pipelines, improving data quality and reliability, and collaborating with cross-functional teams to support analytics, reporting, and machine learning initiatives.
• Design, build, and maintain robust ETL/ELT pipelines and data workflows using Python.
• Implement best practices for data architecture, modeling, and processing at scale.
• Collaborate with team members to leverage Azure DevOps for CI/CD, release management, and automated testing.
• Ensure compliance with data governance, quality, and security standards.
• Mentor junior engineers and contribute to the growth of engineering best practices.
• Partner with stakeholders (data scientists, analysts, business teams) to deliver reliable data solutions.
HYBRID IN NYC, 3 MONTH CONTRACT (POSSIBLE EXTENSION), DATA ANALYST/ENGINEER
Day-to-Day
The Data Engineering team at one of our non-profit organizations is seeking an experienced Data Analyst/Engineer to join our team. The ideal candidate will bring strong expertise in Python development for data-intensive applications, including hands-on proficiency with SQL and PySpark.
This role involves building scalable data pipelines, improving data quality and reliability, and collaborating with cross-functional teams to support analytics, reporting, and machine learning initiatives.
• Design, build, and maintain robust ETL/ELT pipelines and data workflows using Python.
• Implement best practices for data architecture, modeling, and processing at scale.
• Collaborate with team members to leverage Azure DevOps for CI/CD, release management, and automated testing.
• Ensure compliance with data governance, quality, and security standards.
• Mentor junior engineers and contribute to the growth of engineering best practices.
• Partner with stakeholders (data scientists, analysts, business teams) to deliver reliable data solutions.
