

Jobs via Dice
Opening for Data Architect/ Principal Data Analyst :: Contract :: McLean/ Richmond, VA (Hybrid)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect/Principal Data Analyst on a contract basis in McLean/Richmond, VA (Hybrid). Requires 7+ years of experience, expertise in Python, SQL, Tableau, and financial domain knowledge. Pay rate and contract length unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 11, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
McLean, VA
-
🧠 - Skills detailed
#Visualization #Documentation #Data Analysis #Tableau #Python #AWS (Amazon Web Services) #SQL (Structured Query Language) #Data Pipeline #Spark (Apache Spark) #Automation #Snowflake #Data Quality #Databricks #Databases #Data Architecture #S3 (Amazon Simple Storage Service) #AWS S3 (Amazon Simple Storage Service)
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, SOHO Square Solutions, is seeking the following. Apply via Dice today!
Note: Only W2 candidates with financial or Banking will be considered.
Role Summary: Data Architect/ Principal Data Analyst Credit Function
Level: Principal DA (7+ years)
Location: McLean, VA (preferred) | Richmond, VA (acceptable)
Work Model: Hybrid (3 Days Onsite)
Overview
Seeking a hands-on Principal Data Analyst to support the Credit function, partnering with Credit Risk, Acquisition, and multiple stakeholders, including external regulators and customers. The role requires full ownership of data analysis, Tableau dashboards, and project execution.
Key Responsibilities
• Own end-to-end data analysis and deliverables
• Build and maintain Tableau dashboards (internal + regulatory-facing)
• Use Python and SQL for analysis, validation, quality checks, and pipeline support
• Identify process gaps in credit/acquisition data and recommend solutions
• Support data pipelines, including customer feedback analysis
• Independently manage project tasks, stakeholder coordination, weekly status updates, and MoM documentation
Must-Have Skills
• Python (analysis, automation, validation)
• Tableau (dashboards, data visualization, regulatory reporting)
• SQL (Snowflake)
• Databricks
• AWS (S3)
• Proven ability to own work independently and manage multiple stakeholders
Preferred Skills
• Spark, Databases
• Google Sheets & Docs
• Credit risk / acquisition / financial domain experience
Ideal Candidate
• 5+ years as a Data Analyst operating at Principal level
• Strong hands-on technical contributor
• 1+ year of project/task ownership experience
• Comfortable with regulatory-facing reporting and high data quality standards
Dice is the leading career destination for tech experts at every stage of their careers. Our client, SOHO Square Solutions, is seeking the following. Apply via Dice today!
Note: Only W2 candidates with financial or Banking will be considered.
Role Summary: Data Architect/ Principal Data Analyst Credit Function
Level: Principal DA (7+ years)
Location: McLean, VA (preferred) | Richmond, VA (acceptable)
Work Model: Hybrid (3 Days Onsite)
Overview
Seeking a hands-on Principal Data Analyst to support the Credit function, partnering with Credit Risk, Acquisition, and multiple stakeholders, including external regulators and customers. The role requires full ownership of data analysis, Tableau dashboards, and project execution.
Key Responsibilities
• Own end-to-end data analysis and deliverables
• Build and maintain Tableau dashboards (internal + regulatory-facing)
• Use Python and SQL for analysis, validation, quality checks, and pipeline support
• Identify process gaps in credit/acquisition data and recommend solutions
• Support data pipelines, including customer feedback analysis
• Independently manage project tasks, stakeholder coordination, weekly status updates, and MoM documentation
Must-Have Skills
• Python (analysis, automation, validation)
• Tableau (dashboards, data visualization, regulatory reporting)
• SQL (Snowflake)
• Databricks
• AWS (S3)
• Proven ability to own work independently and manage multiple stakeholders
Preferred Skills
• Spark, Databases
• Google Sheets & Docs
• Credit risk / acquisition / financial domain experience
Ideal Candidate
• 5+ years as a Data Analyst operating at Principal level
• Strong hands-on technical contributor
• 1+ year of project/task ownership experience
• Comfortable with regulatory-facing reporting and high data quality standards





