Zillion Technologies, Inc.

Senior Product Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Product Analyst with a 6-month contract, offering a competitive pay rate. Candidates must have 5+ years of experience in product analysis, proficiency in XML and JSON, and Agile methodology skills. Financial services experience preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
March 24, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
McLean, VA
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🧠 - Skills detailed
#AI (Artificial Intelligence) #POSTMAN #Data Integration #Business Analysis #JSON (JavaScript Object Notation) #Quality Assurance #Automation #XML (eXtensible Markup Language) #Scala #Agile #"ETL (Extract #Transform #Load)" #Stories #SharePoint #Data Mapping #Compliance #Data Analysis #Computer Science #SQL (Structured Query Language) #Jira
Role description
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. -Be heavy on source to target mapping, integrated services, response schemas between services, analyzing data in Json and XML file formats -This is a solid Product Analyst role: work through backlogs, translate requirements, -SQL is a plus its not required. They have a team to pull data -Be able to use any MS tools. Postman, XML readers to analyze data (in Json and XML file formats) Responsibilities: β€’ Lead technical analysis and data-driven discovery for complex product features spanning multiple systems, partners, and data flows. β€’ Develop and refine robust product requirements by leveraging advanced data mapping, transformation, and integration techniques (e.g., XML, JSON, conditional logic). β€’ Utilize AI-enabled tools and analytical methods to accelerate feature discovery, enhance insight quality, and optimize delivery speed. β€’ Collaborate closely with engineering, data, and quality teams to architect scalable solutions, resolve technical dependencies, and ensure seamless integration across platforms. β€’ Define and implement successful metrics, acceptance criteria, and automated validation processes to ensure features deliver measurable value, quality, and customer impact. β€’ Identify risks, data gaps, and technical constraints early driving proactive mitigation and informed tradeoff decisions. β€’ Serve as a technical liaison, translating business needs and regulatory requirements into actionable, technically sound solutions that align with industry standards and compliance objectives Required Qualifications: β€’ Bachelor’s degree in a technical field (e.g., Computer Science, Engineering, Information Systems) or equivalent professional experience. β€’ Typically, 5+ years of hands-on experience in product analysis, data analysis, or technical business analysis at a senior level. β€’ Proven expertise in analyzing, mapping, and transforming complex data structures (XML, β€’ JSON) and implementing conditional logic for accurate data integration. β€’ Experience using AI-powered tools and advanced analytics techniques for requirements development, prototyping, or test scenario generation. β€’ Strong technical proficiency in Agile delivery environments, including backlog management, refinement, and sprint execution. β€’ Proficiency with product and delivery tools such as JIRA, Confluence, and SharePoint. β€’ Excellent analytical, problem-solving, and communication skills with the ability to influence across technical and non-technical audiences. Preferred Qualifications: β€’ Experience supporting data-driven or platform-based products in financial services, mortgage, or regulated industries. β€’ Understanding of loan eligibility, credit risk assessment, and closing data standards (ULDD, UCD, XML). β€’ Demonstrated ability to translate business needs and regulatory requirements into technically robust product solutions. β€’ Familiarity with automation, data validation, and quality assurance processes in a product environment.