Data Analyst-Onsite @ Mclean, VA-In-person Meeting-Need -Locals Only

Mc Lean, VA, US • Posted 12 hours ago • Updated 12 hours ago
Contract W2
On-site
Depends on Experience
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • Mortgage Banking
  • Loan Servicing
  • Mortgage Loan Data
  • Mortgage Securitization
  • Financial Services Data
  • Jira
  • Agile / Scrum
  • DataStage
  • Python
  • SQL Server / Oracle / Teradata / Snowflake
  • Data Analysis
  • Data Analyst
  • Data Warehousing
  • Data Lineage
  • Data Governance

Summary

Title - Data Analyst

Location-Onsite @ Mclean, VA-In-person Meeting

Duration Contract

Qualifications

  • 10+ years of experience in Business Analysis and Data Analysis
  • Advanced SQL expertise with hands-on experience in data warehousing, ETL processes (DataStage or similar tools), data lineage, and data securitization across large-scale data environments
  • Mortgage domain experience (required)
  • Experience working in Agile environments, including creating business and technical user stories and managing work in Jira
  • Familiarity with Python scripting and data validation workflows
  • Strong analytical and problem-solving skills, with the ability to synthesize complex, disparate data sources into actionable insights
  • Strong communication skills, capable of translating business requirements into technical rules, methodologies, and analytical solutions for both technical and non-technical stakeholders

Responsibilities

  • Contribute to the buildout of strategic, scalable data platforms in partnership with business and technology stakeholders
  • Partner with client analytics teams to understand business-specific data sources, elements, relationships, and lineage
  • Translate high-level business requirements into complete, end-to-end analytical solutions
  • Support and enhance data warehousing and ETL pipelines, ensuring data quality, integrity, and traceability
  • Identify opportunities for advanced analytics and reporting across business-aligned testing teams
  • Conduct exploratory data analysis (EDA) to develop deep understanding of targeted business areas
  • Collaborate with clients to expand capabilities in machine learning, natural language processing, and automation
  • Work closely with peers, colleagues, and managers to resolve issues and drive project goals
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91081414
  • Position Id: 8915526
  • Posted 12 hours ago
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