Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with a contract length of "unknown," offering a pay rate of "unknown." Key skills include SQL, Python, and AWS services. A Bachelor’s degree and 1–2 years of experience are required, with financial services experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
280
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🗓️ - Date discovered
June 4, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Reston, VA
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Data Analysis #S3 (Amazon Simple Storage Service) #Data Quality #Data Engineering #Data Pipeline #Scala #Data Processing #Computer Science #"ETL (Extract #Transform #Load)" #Python #Data Architecture #Cloud #Datasets #Oracle #Lambda (AWS Lambda) #Data Modeling #Redshift #Agile #Automation #Data Wrangling #SQL (Structured Query Language) #SQL Queries #PostgreSQL #RDS (Amazon Relational Database Service)
Role description
We are seeking a detail-oriented Data Analyst with a strong background in data processing, transformation, and analysis using SQL, Python, and AWS technologies. The ideal candidate will support data-driven decision-making by building efficient data pipelines, analyzing large datasets, and ensuring data quality across multiple platforms.
Key Responsibilities:
• Design, build, and maintain scalable ETL pipelines using AWS services such as Glue, Lambda, S3, and Redshift.
• Write complex SQL queries to extract, manipulate, and analyze data from relational and cloud-based data stores.
• Develop and maintain Python scripts for data wrangling, automation, and transformation tasks.
• Collaborate with cross-functional teams to gather business requirements and translate them into technical data solutions.
• Ensure data quality, integrity, and accuracy through validation and test automation practices.
• Participate in Agile development processes and contribute to planning, sprint reviews, and retrospectives.
Required Skills & Experience:
• Proficiency with SQL and Python for data analysis and transformation.
• Hands-on experience with AWS services such as Glue ETL, Lambda, S3, Redshift, EMR, ECS, and RDS (PostgreSQL/Oracle).
• Familiarity with Software Development Lifecycle (SDLC) and Agile methodologies.
• Strong understanding of data architecture, data modeling, and performance tuning.
• Experience with test automation tools and best practices for validating data workflows.
Preferred Qualifications:
• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• 1–2 years of hands-on experience in a data analyst, data engineer, or similar role.
• Financial services industry experience is a plus.
• Relevant certifications in AWS or data analytics tools are desirable.
We are seeking a detail-oriented Data Analyst with a strong background in data processing, transformation, and analysis using SQL, Python, and AWS technologies. The ideal candidate will support data-driven decision-making by building efficient data pipelines, analyzing large datasets, and ensuring data quality across multiple platforms.
Key Responsibilities:
• Design, build, and maintain scalable ETL pipelines using AWS services such as Glue, Lambda, S3, and Redshift.
• Write complex SQL queries to extract, manipulate, and analyze data from relational and cloud-based data stores.
• Develop and maintain Python scripts for data wrangling, automation, and transformation tasks.
• Collaborate with cross-functional teams to gather business requirements and translate them into technical data solutions.
• Ensure data quality, integrity, and accuracy through validation and test automation practices.
• Participate in Agile development processes and contribute to planning, sprint reviews, and retrospectives.
Required Skills & Experience:
• Proficiency with SQL and Python for data analysis and transformation.
• Hands-on experience with AWS services such as Glue ETL, Lambda, S3, Redshift, EMR, ECS, and RDS (PostgreSQL/Oracle).
• Familiarity with Software Development Lifecycle (SDLC) and Agile methodologies.
• Strong understanding of data architecture, data modeling, and performance tuning.
• Experience with test automation tools and best practices for validating data workflows.
Preferred Qualifications:
• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• 1–2 years of hands-on experience in a data analyst, data engineer, or similar role.
• Financial services industry experience is a plus.
• Relevant certifications in AWS or data analytics tools are desirable.
