Mastech Digital

Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Analyst in Newark, NJ (Hybrid, 3 days onsite) for 6+ months at $50-51/hour. Requires a Bachelor’s in a related field, 5+ years of experience, proficiency in SQL, Python, and AWS services.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
408
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🗓️ - Date
December 2, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Newark, NJ
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🧠 - Skills detailed
#BI (Business Intelligence) #Redshift #Scala #Athena #Data Engineering #Datasets #"ETL (Extract #Transform #Load)" #S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #Data Analysis #Data Processing #Data Integrity #Python #Databases #SQL Queries #Security #AWS (Amazon Web Services) #Computer Science
Role description
Title: AWS Data Analyst Location: Newark, NJ (Hybrid 3 days onsite) Duration: 6+ Months (with extension) Rate: $50-51/hour on W2 Summary: The ideal candidate will have strong analytical abilities, proficiency in tools like SQL, Excel, and Python, and excellent communication skills to translate complex data into actionable business strategies. Required: • Bachelor’s degree in Computer Science, Data Engineering, or related field with 5+ years of experience in data analyst roles • Proficiency in SQL, Python, or Scala for data transformation and processing. • Working Knowledge of AWS services • Proven experience in data analysis, business intelligence, or related roles. • Strong analytical and problem-solving skills with attention to detail. • Excellent communication skills • Ability to work independently and collaboratively in a fast-paced environment. Key Responsibilities • Extract, clean, and analyze large datasets from multiple sources. • Write complex SQL queries to retrieve, manipulate, and analyze data efficiently. • Develop and maintain dashboards and reports for business stakeholders. • Work with AWS services such as S3, Redshift, Athena, and Glue for data processing and analysis. • Collaborate with cross-functional teams to understand data requirements and provide actionable insights. • Ensure data integrity, consistency, and security across various databases. • Identify trends, anomalies, and opportunities in data to drive business decisions.