New York Technology Partners

Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with a contract length of "unknown" and a pay rate of "unknown," located onsite in Charlotte, NC or St. Louis, MO. Key skills include SQL, Snowflake, Python, and AWS services. In-person customer interview required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 8, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Data Quality #Data Engineering #Athena #Data Analysis #Datasets #S3 (Amazon Simple Storage Service) #Python #SQL (Structured Query Language) #SQL Queries #"ETL (Extract #Transform #Load)" #Data Modeling #Snowflake #Automation #Data Extraction #AWS (Amazon Web Services) #Data Pipeline
Role description
Job Title: Data Analyst Location: Onsite (Charlotte, NC / St. Louis, MO) • • • • Important Please make note: Candidates must be informed that they will be required to attend an in-person customer L2 interview. Please ensure that all submitted candidates are aware of and comfortable with the in-person customer interview requirement before submission. • • • Job Description Key Responsibilities Collaborate with business stakeholders to gather and understand data requirements • Apply Data Engineering concepts including ETL/ELT, data modeling, and data warehousing. • Communicate analytical findings and recommendations to technical and business teams. • Analyze and interpret data to identify trends, insights, and business opportunities. • Develop and optimize complex SQL queries for data extraction, validation, and analysis. • Work with Snowflake to manage, transform, and analyze large datasets. • Use Python for data analysis, automation, and data quality checks. • Support data validation, troubleshooting, and root cause analysis. • Work with AWS services such as S3, Glue, and Athena to support data solutions. Required Skills & Qualifications • Strong proficiency in SQL for data analysis • Hands-on experience with Snowflake. • Experience using Python for data analysis and automation. • Good understanding of Data Engineering concepts (ETL/ELT, data pipelines, data modeling, data warehousing). • Working knowledge of AWS services, particularly S3 • Strong analytical and problem-solving skills. • Experience in requirement gathering and stakeholder collaboration. • Excellent verbal and written communication skills.