

Technology Ventures
IT Product Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an IT Product Analyst in McLean, VA, with a contract until Mar 19, 2026, offering a competitive pay rate. Requires 5+ years of senior product analysis experience, proficiency in XML and JSON, Agile expertise, and a technical degree.
π - Country
United States
π± - Currency
Unknown
-
π° - Day rate
Unknown
-
ποΈ - Date
March 20, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
McLean, VA
-
π§ - Skills detailed
#AI (Artificial Intelligence) #Automation #JSON (JavaScript Object Notation) #XML (eXtensible Markup Language) #Data Integration #Jira #Computer Science #Agile #SharePoint #Data Analysis #Quality Assurance #Compliance #Data Mapping #Scala #Stories #"ETL (Extract #Transform #Load)" #Business Analysis
Role description
McLean, VA
Contract
Mar 19, 2026
IT Product Analyst - Must Have Qualifications: 5+ Years of Senior level Product Analyst experience required. Candidate must be technical with hands on experience working in XML and Json formats between services that communicate and integrate with each other and conduct analysis from that. Agile experience creating stories, working with dev teams, and stakeholders n requirements. Soft Skills: Experiences leading conversations and meetings, comfortable being a go to for the team, and the ability to communicate with to all business areas Technical and business. Ideal candidate will have an adaptable mindset and conformable being technical a product mindset -bringing the value forward and stakeholder value. Preferred: Fintech or Freddie/Fannie and AI knowledge. In this role, you will be a technical leader advancing the LQA and LCLA product portfolios, expected to: Lead technical analysis and data-driven discovery for complex product features spanning multiple systems, partners, and data flows Develop and refine robust product requirements by leveraging advanced data mapping, transformation, and integration techniques (e.g., XML, JSON, conditional logic) Utilize AI-enabled tools and analytical methods to accelerate feature discovery, enhance insight quality, and optimize delivery speed Collaborate closely with engineering, data, and quality teams to architect scalable solutions, resolve technical dependencies, and ensure seamless integration across platforms Define and implement successful metrics, acceptance criteria, and automated validation processes to ensure features deliver measurable value, quality, and customer impact Identify risks, data gaps, and technical constraints earlyβdriving proactive mitigation and informed tradeoff decisions Serve as a technical liaison, translating business needs and regulatory requirements into actionable, technically sound solutions that align with industry standards and compliance objectives Qualifications: Required Qualifications Bachelorβs degree in a technical field (e.g., Computer Science, Engineering, Information Systems) or equivalent professional experience Typically 5+ years of hands-on experience in product analysis, data analysis, or technical business analysis at a senior level Proven expertise in analyzing, mapping, and transforming complex data structures (XML, JSON) and implementing conditional logic for accurate data integration Experience using AI-powered tools and advanced analytics techniques for requirements development, prototyping, or test scenario generation Strong technical proficiency in Agile delivery environments, including backlog management, refinement, and sprint execution Proficiency with product and delivery tools such as JIRA, Confluence, and SharePoint Excellent analytical, problem-solving, and communication skills with the ability to influence across technical and non-technical audiences Preferred Qualifications Experience supporting data-driven or platform-based products in financial services, mortgage, or regulated industries Understanding of loan eligibility, credit risk assessment, and closing data standards (ULDD, UCD, XML) Demonstrated ability to translate business needs and regulatory requirements into technically robust product solutions Familiarity with automation, data validation, and quality assurance processes in a product environment Keys to Success In This Role:
Ability to thrive in ambiguity and structure complex problems into clear, actionable
insights
Strong ownership mindset with a track record of delivering high-quality outcomes with
minimal defects
Exceptional stakeholder engagement skills, including the ability to manage expectations
and navigate competing priorities
Clear, concise communicator who can translate complex concepts into meaningful
business impact
Proactive, curious, and continuously seeking ways to improve product quality, efficiency,
and customer experience
Collaborative teammate who models accountability, professionalism, and inclusive ways of working
McLean, VA
Contract
Mar 19, 2026
IT Product Analyst - Must Have Qualifications: 5+ Years of Senior level Product Analyst experience required. Candidate must be technical with hands on experience working in XML and Json formats between services that communicate and integrate with each other and conduct analysis from that. Agile experience creating stories, working with dev teams, and stakeholders n requirements. Soft Skills: Experiences leading conversations and meetings, comfortable being a go to for the team, and the ability to communicate with to all business areas Technical and business. Ideal candidate will have an adaptable mindset and conformable being technical a product mindset -bringing the value forward and stakeholder value. Preferred: Fintech or Freddie/Fannie and AI knowledge. In this role, you will be a technical leader advancing the LQA and LCLA product portfolios, expected to: Lead technical analysis and data-driven discovery for complex product features spanning multiple systems, partners, and data flows Develop and refine robust product requirements by leveraging advanced data mapping, transformation, and integration techniques (e.g., XML, JSON, conditional logic) Utilize AI-enabled tools and analytical methods to accelerate feature discovery, enhance insight quality, and optimize delivery speed Collaborate closely with engineering, data, and quality teams to architect scalable solutions, resolve technical dependencies, and ensure seamless integration across platforms Define and implement successful metrics, acceptance criteria, and automated validation processes to ensure features deliver measurable value, quality, and customer impact Identify risks, data gaps, and technical constraints earlyβdriving proactive mitigation and informed tradeoff decisions Serve as a technical liaison, translating business needs and regulatory requirements into actionable, technically sound solutions that align with industry standards and compliance objectives Qualifications: Required Qualifications Bachelorβs degree in a technical field (e.g., Computer Science, Engineering, Information Systems) or equivalent professional experience Typically 5+ years of hands-on experience in product analysis, data analysis, or technical business analysis at a senior level Proven expertise in analyzing, mapping, and transforming complex data structures (XML, JSON) and implementing conditional logic for accurate data integration Experience using AI-powered tools and advanced analytics techniques for requirements development, prototyping, or test scenario generation Strong technical proficiency in Agile delivery environments, including backlog management, refinement, and sprint execution Proficiency with product and delivery tools such as JIRA, Confluence, and SharePoint Excellent analytical, problem-solving, and communication skills with the ability to influence across technical and non-technical audiences Preferred Qualifications Experience supporting data-driven or platform-based products in financial services, mortgage, or regulated industries Understanding of loan eligibility, credit risk assessment, and closing data standards (ULDD, UCD, XML) Demonstrated ability to translate business needs and regulatory requirements into technically robust product solutions Familiarity with automation, data validation, and quality assurance processes in a product environment Keys to Success In This Role:
Ability to thrive in ambiguity and structure complex problems into clear, actionable
insights
Strong ownership mindset with a track record of delivering high-quality outcomes with
minimal defects
Exceptional stakeholder engagement skills, including the ability to manage expectations
and navigate competing priorities
Clear, concise communicator who can translate complex concepts into meaningful
business impact
Proactive, curious, and continuously seeking ways to improve product quality, efficiency,
and customer experience
Collaborative teammate who models accountability, professionalism, and inclusive ways of working





