Data Analyst - Housing Finance/Mortgage

Capco • Washington, DC

49d • $119,000 - $136,000 • Onsite

About The Position

As a member of the Capco Technology Delivery Team, you'll bring practical knowledge of agile development methodologies and engineering best practices. As a Data Analyst, you'll play an integral role: using your experience and skills to contribute to the quality and implementation of our solutions for our customers.

Requirements

• 5+ years of experience as a Data Analyst or similar role, preferably in financial services or another data-intensive industry.
• Proven expertise in data profiling, validation, and analysis using advanced SQL skills.
• Hands-on experience with Snowflake for querying and analyzing large datasets.
• Strong understanding of ETL processes, Data Warehousing, and Data Mart concepts (conceptual understanding sufficient; not a developer role).
• Excellent communication skills to effectively collaborate with business users and present findings with clarity.
• A self-starter mindset with the ability to work independently and proactively identify issues or improvement areas.
• Strong critical thinking and problem-solving abilities.
• Domain knowledge in Housing Finance/Mortgage sector.
• Bachelor's degree in Information Systems, Computer Science, Data Analytics, or a related field.
• Willingness to work in our McLean, VA office 5 days / week.

Responsibilities

• Partner closely with business stakeholders to gather, understand, and translate data requirements into actionable insights.
• Perform detailed data profiling and analysis to ensure data quality, consistency, and accuracy across multiple sources.
• Analyze and document data flows from data-producing systems into downstream data warehouses, marts, and analytics platforms.
• Collaborate with ETL and data engineering teams to validate data transformations and business rules at a conceptual level.
• Use SQL and Snowflake to extract, explore, and validate datasets to support analytics and reporting needs.
• Communicate findings, insights, and recommendations clearly to both technical and non-technical audiences.
• Support data governance and quality initiatives by identifying anomalies and recommending corrective actions.

Benefits

• medical, dental, and vision insurance
• a 401(k) plan
• tuition reimbursement
• a work culture focused on innovation and creation of lasting value for our clients and employees

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 1,001-5,000 employees