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Principal Data Analyst - Hybrid
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal Data Analyst (Hybrid) in Mclean, VA/Richmond, VA, with a long-term contract at a W2 pay rate. Key skills include AWS, Python, R, SQL, and experience in data governance within financial services.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
February 28, 2026
🕒 - 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
McLean, VA
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🧠 - Skills detailed
#SQL (Structured Query Language) #Agile #Metadata #R #Security #Spark (Apache Spark) #Lean #AWS (Amazon Web Services) #Data Quality #Data Access #Mathematics #Python #Data Lineage #Data Governance #Visualization #Data Analysis
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, MSYS Inc., is seeking the following. Apply via Dice today!
Title: Principal Data Analyst - Hybrid
Location: Mclean, VA / Richmond, VA
Length:Long term
Restriction: w2 Only
Description:
•
•
•
• Webcam interview;
•
•
• Long term project with possible contract to hire
•
•
• Linkedin Must
•
•
• Hybrid
•
•
•
• Job description:
• Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
• Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
• Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
• Drive analysis that provides meaningful insights on business strategies
• Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
• Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
• Build and execute tools to monitor and report on data quality
Required Skill:
• Experience utilizing and developing within AWS services
• At least 4 years of experience coding in Python, R, Spark, or SQL
• At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
• At least 2 years of experience utilizing and developing within AWS services
• At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry
• Degree specialized in a Science, Technology, Engineering, Mathematics discipline
Dice is the leading career destination for tech experts at every stage of their careers. Our client, MSYS Inc., is seeking the following. Apply via Dice today!
Title: Principal Data Analyst - Hybrid
Location: Mclean, VA / Richmond, VA
Length:Long term
Restriction: w2 Only
Description:
•
•
•
• Webcam interview;
•
•
• Long term project with possible contract to hire
•
•
• Linkedin Must
•
•
• Hybrid
•
•
•
• Job description:
• Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
• Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
• Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
• Drive analysis that provides meaningful insights on business strategies
• Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
• Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
• Build and execute tools to monitor and report on data quality
Required Skill:
• Experience utilizing and developing within AWS services
• At least 4 years of experience coding in Python, R, Spark, or SQL
• At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
• At least 2 years of experience utilizing and developing within AWS services
• At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry
• Degree specialized in a Science, Technology, Engineering, Mathematics discipline






