Data Analyst

Position:

Product Analyst Location:

McLean, VA Duration:

• Analyze product and business data to generate actionable insights that drive decision-making and product improvements
• Write complex queries across SQL and NoSQL (MongoDB) data sources to extract, transform, and analyze large, distributed data sets
• Partner closely with Product Owners to translate analysis into well-defined user stories, support backlog grooming, and contribute to sprint planning
• Collaborate with product managers, engineering, and business stakeholders to convert business needs into clear, data -driven requirements for development teams
• Support and validate ETL processes by working with data engineers to ensure data quality, integrity, and optimized data flows
• Develop and maintain dashboards, reports, and KPIs to monitor product health and user behavior
• Conduct deep-dive analysis and root cause investigations across product performance, user journeys, and operational issues
• Work with QA and engineering teams to validate data accuracy and support end-to-end testing
• Contribute to continuous improvement by identifying data gaps, inefficiencies, and automation opportunities
• Operate effectively within event-driven architectures, understanding how data flows across systems and impacts downstream analytics What You ll Bring
• 8+ years of experience as a Product/ Data Analyst
• Strong expertise in SQL and working knowledge of NoSQL data bases (e.g., MongoDB)
• Proven ability to translate analytical findings into actionable product requirements and user stories
• Hands-on experience supporting backlog grooming, sprint planning, and Product Owner collaboration
• Experience in the mortgage industry is a strong plus
• Solid understanding of data modeling, data analysis, and working with large-scale data warehouse environments
• Experience with ETL processes and data validation (Informatica or similar tools preferred)
• Familiarity with event-driven architecture and data flow patterns across distributed systems
• Strong analytical and problem-solving skills with the ability to influence business decisions
• Experience working in Agile/Scrum environments, with tools such as Jira
• Excellent communication skills, with the ability to clearly articulate insights and requirements to both technical and non-technical stakeholders