Product Business Analyst

Title - Product Business Analyst Location- Piscataway NJ 08854 Duration - 24 Months Contract Description Client is seeking a highly motivated Product Business Analyst to support the product portfolio within the Commercial Data Science (CDS) team. This role serves as a dedicated partner to the Analytics Product Manager, acting as a bridge between high-level business strategy and day-to-day technical execution. This is an excellent opportunity for an analytical, detail-oriented professional who wants to work hands-on with complex data platforms, machine learning integrations, and external data partnerships. The ideal candidate has strong experience with customer-facing, external products and has successfully navigated Proof of Concepts and real product go-lives. This position which reports to the Lead Director and has a dotted line to the Analytics Product Manager, collaborates closely with internal data scientists, ML engineers, front-end developers, marketing teams, and external vendors. Key Responsibilities Technical Requirements & Backlog Management • Serve as the subject matter expert on all assigned products and their functionalities to drive tactical product execution. • Gather requirements and create appropriate functional and business artifacts, including Business Requirement Documents (BRDs), user stories, user flows, and meeting notes. • Partner with the Product Manager to groom and maintain the product backlog in Jira, understanding the technical nuances behind business requirements. • Document complex data flows, business rules, and technical prerequisites for AI integrations and external data platforms. Bug Triage & Quality Assurance • Act as the first line of defense for product issues and bug triaging across the CDS portfolio. • Investigate user-reported issues, reproduce errors, and perform root-cause analysis on data anomalies before routing actionable tickets to the appropriate engineering or ML data teams. • Create business test cases and support user acceptance testing (UAT) during QA functional testing to clear blockers and ensure high-quality deployments. Competitive Research & Stakeholder Communication • Translate complex backend technical concepts (Machine Learning, Gen AI, Simulation models) into clear, customer-centric value propositions for stakeholders. • Conduct ongoing competitive research on emerging AI solutions, STEM data platforms, and industry trends to ensure developing products provide differentiated value to the market. • Provide regular, structured, technical updates to cross-departmental business stakeholders (marketing, sales, leadership) to improve transparency and decision-making. • Work closely alongside the Product Manager to share daily responsibilities, track project task dependencies, and ensure external vendor deliverables remain on schedule. Qualifications Education • Bachelor's degree or equivalent experience in a Technical Field, Computer Science, Information Technology, or Business Management. Required. Work Experience • 2-4 years of experience in business analysis, product management, or data analysis within a technical or software development environment. Required. • Hands-on experience using SQL for basic data querying, error detection, and bug diagnosis. Required. • Experience operating within an Agile/Scrum delivery model. Preferred. Skills and Requirements • Demonstrated expertise in user story definition, acceptance criteria, and creating detailed technical documents. • Proficiency with Jira, Confluence, or similar Agile project management and documentation tools. • Strong documentation, writing, and presentation skills, with the ability to see the big picture while maintaining an eye for detail. • Excellent spoken and written communications skills in English. • Excellent interpersonal skills with the ability to work with sponsors from different divisions with diverse perspectives. The candidate must be a good listener, motivate people without exercising authority, and maintain composure under pressure. • Ability to take ownership of assigned tasks, manage multiple competing priorities, and deliver on schedule.