SPECTRAFORCE
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst position focused on data migration within the banking domain. It offers a 12-month hybrid contract in McLean or Richmond, VA, with a pay rate of $45-$60/hour. Key skills include SQL, Python, and Snowflake experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
480
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🗓️ - Date
May 5, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Virginia, United States
-
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Cloud #Pandas #Data Pipeline #Scripting #Data Reconciliation #Data Analysis #Python #Scala #Data Quality #Automation #Migration #Data Migration #Data Accuracy #Snowflake #SQL Queries #Tableau #Data Processing #SQL (Structured Query Language) #Data Extraction #Microsoft Power BI #BI (Business Intelligence)
Role description
Job Title: Data Analyst (Snowflake, SQL, Python – Banking Domain)
📍 Location: Hybrid – McLean, VA or Richmond, VA (Day 1 onsite required)
⏳ Duration: Through May 14, 2027 (12-month contract with strong potential for extension and possible conversion)
💰 Pay Rate: $45 – $60/hour
🔍 About the Role
We are seeking a Data Analyst to support a large-scale data migration and modernization initiative within a banking environment. This role will focus on migrating legacy data processes into Snowflake, ensuring data accuracy, and supporting analytics and reporting needs.
🚀 Key Responsibilities
• Work within Snowflake to support data migration and transformation efforts
• Develop and optimize SQL queries for data extraction, transformation, and validation
• Use Python for data processing, automation, and validation tasks
• Perform data reconciliation and validation between legacy and new systems
• Identify and resolve data discrepancies and quality issues
• Support development of data pipelines and workflows
• Collaborate with cross-functional teams to gather requirements and deliver data solutions
• Create reports and dashboards to support business insights and decision-making
🛠️ Required Skills
• Strong experience with SQL (joins, aggregations, window functions)
• Hands-on experience with Python (Pandas, data validation, scripting)
• Experience working with Snowflake or similar cloud data platforms
• Experience with data migration, data transformation, or ETL processes
• Strong understanding of data validation and reconciliation techniques
• Ability to work in a fast-paced, production environment
⭐ Preferred Qualifications
• Experience in banking, financial services, or fintech
• Familiarity with data pipelines and orchestration tools
• Experience with Tableau, Power BI, or other BI tools
• Knowledge of data warehousing concepts and dimensional modeling
🎯 What Success Looks Like
• Accurate and efficient migration of legacy data into Snowflake
• High data quality and consistency across systems
• Reliable and scalable data pipelines and reporting solutions
Job Title: Data Analyst (Snowflake, SQL, Python – Banking Domain)
📍 Location: Hybrid – McLean, VA or Richmond, VA (Day 1 onsite required)
⏳ Duration: Through May 14, 2027 (12-month contract with strong potential for extension and possible conversion)
💰 Pay Rate: $45 – $60/hour
🔍 About the Role
We are seeking a Data Analyst to support a large-scale data migration and modernization initiative within a banking environment. This role will focus on migrating legacy data processes into Snowflake, ensuring data accuracy, and supporting analytics and reporting needs.
🚀 Key Responsibilities
• Work within Snowflake to support data migration and transformation efforts
• Develop and optimize SQL queries for data extraction, transformation, and validation
• Use Python for data processing, automation, and validation tasks
• Perform data reconciliation and validation between legacy and new systems
• Identify and resolve data discrepancies and quality issues
• Support development of data pipelines and workflows
• Collaborate with cross-functional teams to gather requirements and deliver data solutions
• Create reports and dashboards to support business insights and decision-making
🛠️ Required Skills
• Strong experience with SQL (joins, aggregations, window functions)
• Hands-on experience with Python (Pandas, data validation, scripting)
• Experience working with Snowflake or similar cloud data platforms
• Experience with data migration, data transformation, or ETL processes
• Strong understanding of data validation and reconciliation techniques
• Ability to work in a fast-paced, production environment
⭐ Preferred Qualifications
• Experience in banking, financial services, or fintech
• Familiarity with data pipelines and orchestration tools
• Experience with Tableau, Power BI, or other BI tools
• Knowledge of data warehousing concepts and dimensional modeling
🎯 What Success Looks Like
• Accurate and efficient migration of legacy data into Snowflake
• High data quality and consistency across systems
• Reliable and scalable data pipelines and reporting solutions
