Reqroute, Inc

Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with 8+ years of experience, onsite in Charlotte, NC or St. Louis, MO. Contract duration is 12+ months at a W2 pay rate. Key skills include SQL, Snowflake, Python, and AWS services.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 8, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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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
W2 | ONSITE ROLE LOCAL TO NC / MO | (F2F L2 interview) Position Title: Data Analyst Location: Onsite (Charlotte, NC / St. Louis, MO) Duration: 12+ Months Contract Position Type- W2 Only Exp Level- 8+Years 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.