Product Analyst

PLEASE NOTE:

• It is a 100% onsite position in Mclean, VA.
  

Job Description:

• 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 datasets.
  
• 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.
  

Requirements

Requirements:

• 8+ years of experience as a Product/Data Analyst.
  
• Strong expertise in SQL and working knowledge of NoSQL databases (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 (Freddie Mac / Fannie Mae exposure 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.