Title: Business Analyst
location : Mclean , VA Onsite
Duration : Untill Apr 30, 2027- plans to extend
Role Summary
We are seeking a Senior IT Business Analyst with experience in Operations Research,
Systems Design, and business process analysis to translate complex business
challenges into well-defined, data-informed business solutions.
This role operates at the intersection of business strategy, operations, analytics, process
design, and technology. The ideal candidate goes beyond traditional requirements
gathering to understand how people, processes, data, technology, constraints, and
decisions interact as a system.
The Senior IT Business Analyst will serve as a bridge between business and technical
teams, helping define problems, evaluate alternatives, document decisions and
requirements, design processes and systems, and support business solutions throughout
the Product Delivery Lifecycle (PDLC).
Key Responsibilities
Business & Systems Analysis
• Partner with business and technical stakeholders to define business problems,
objectives, requirements, constraints, dependencies, assumptions, and
measurable success criteria.
• Elicit and translate business needs into clear functional and technical
requirements, user stories, acceptance criteria, process flows, data flows, and
specifications.
• Analyze current-state processes and systems and design future-state business
solutions using systems thinking and Business Process Model and Notation
(BPMN).
• Identify process inefficiencies, bottlenecks, dependencies, control points,
integration impacts, and opportunities for improvement or automation.
• Assess the feasibility and impact of proposed solutions across business processes,
data, systems, operations, and stakeholders.
Operations Research & Decision Analysis
• Apply Operations Research, quantitative analysis, and structured problem-solving
techniques to complex business and operational problems.
• Use data, analytical models, scenario analysis, and trade-off analysis to evaluate
alternatives, assumptions, constraints, capacity, risk, feasibility, complexity, and
business value.
• Develop clear, evidence-based recommendations that help stakeholders make
informed decisions and move from ambiguous problems to actionable business
solutions.
Product Delivery & Validation
• Support business solutions throughout the end-to-end PDLC, from discovery and
design through development, validation, implementation, and post-implementation
assessment.
• Collaborate with product, business, architecture, engineering, and other delivery
teams to resolve requirements, process, and design questions.
• Support solution validation, testing, issue resolution, and implementation readiness
to ensure delivered capabilities align with defined requirements and intended
business outcomes.
• Maintain traceability between business objectives, requirements, specifications,
decisions, delivered capabilities, and validation results.
Documentation, Facilitation & Communication
• Demonstrate exceptional note-taking and documentation skills, accurately
capturing discussions, requirements, decisions, assumptions, risks, dependencies,
open questions, action items, and ownership.
• Produce concise, organized, and actionable documentation that provides a reliable
record of what was discussed, decided, and agreed upon.
• Facilitate discovery sessions, workshops, requirements discussions, process
mapping activities, and decision-making conversations across business and
technical teams.
• Communicate complex business, analytical, process, and technical concepts
clearly to both technical and non-technical audiences.
Required Qualifications
• Bachelor's degree in Operations Research, Systems Engineering, Industrial
Engineering, Information Systems, Computer Science, Business Analytics, or a
related quantitative, business, or technical discipline.
• Experience as an IT Business Analyst, Systems Analyst, Operations Research
Analyst, Systems Engineer, or similar role.
• Demonstrated experience analyzing complex business processes, operational
environments, and technology systems.
• Strong experience with requirements elicitation, analysis, documentation, and
translation of business needs into functional or technical requirements.
• Experience with Business Process Model and Notation (BPMN) and business
process analysis.
• Experience developing process flows, data flows, requirements, specifications, or
logical system models.
• Understanding of the end-to-end Product Delivery Lifecycle (PDLC).
• Strong analytical, quantitative, critical-thinking, and structured problem-solving
skills.
• Exceptional note-taking and documentation skills, with demonstrated ability to
accurately capture decisions, requirements, actions, risks, assumptions,
dependencies, and key discussion points.
• Excellent written and verbal communication, facilitation, and stakeholder
management skills.
• Ability to collaborate effectively across business, product, operations, architecture,
engineering, and technology teams.
Preferred Qualifications
• Master's degree in Operations Research, Systems Engineering, Industrial
Engineering, Analytics, Information Systems, or a related discipline.
• Experience applying optimization, simulation, forecasting, decision modeling, or
other Operations Research methodologies.
• Experience with analytical and modeling tools such as Python, R, SQL, Excel, Power
BI, Visio, or comparable platforms.
• Experience working with AI and AI-enabled business solutions, including the
application of AI to analysis, process improvement, decision support, automation,
or product delivery.
• Experience using AI-assisted development or productivity tools to accelerate
analysis, requirements development, documentation, solution design, or delivery.
• Experience with spec-driven development, using clear requirements,
specifications, acceptance criteria, and traceability to guide solution design,
development, and validation.
• Experience with Agile, product management, or iterative product delivery
methodologies.
• Familiarity with APIs, systems integration, data platforms, cloud technologies, and
automation.
• Experience working in large, complex, or regulated enterprise environments.
• Mortgage industry experience, including familiarity with mortgage business
processes, systems, data, or technology environments.
