Product Analyst
Remote · United Kingdom or United States
Job Summary
Product Analyst for XMOS portal discovery-driven workstream. Responsible for interviewing cross-functional teams (Planning, Investment, Analytics, Ad Operations, Media Operations, Finance), mapping end-to-end workflows as they operate today, creating process documentation (swimlanes, journey maps, service blueprints), translating insights into structured product requirements and user stories, and collaborating with Foundational Data and AI & Automation workstreams. Focuses on ensuring the portal reflects real workflows, defines adoption metrics, and supports backlog prioritization and data/infrastructure considerations. Requires strong communication with practitioners, stakeholders, and a comfort with agile environments.
Required Qualifications
- 2-3 years of experience in product analysis, business analysis, or a similar role where the core work was understanding how organizations operate and translating that into product or systems requirements
- Demonstrated ability to conduct stakeholder interviews and synthesize qualitative input from people with varying levels of technical fluency
- Experience creating process documentation (swimlane diagrams, user journey maps, service blueprints) that is clear, actionable, and actually gets used
- Strong product requirements writing: user stories, acceptance criteria, functional specs that a development team can build against without ambiguity
- Comfort working within agile product development workflows and contributing to backlog prioritization alongside a Product Owner
- Data literacy: you can read an ERD, understand data flows, and discuss API integration points intelligently; you don’t need to write SQL, but you need to know what questions to ask about data
Desired Qualifications
- Experience in media, advertising, or marketing technology — familiarity with planning, buying, and reporting workflows is a significant advantage
- Exposure to product analytics tools (Mixpanel, Amplitude, Pendo, or similar) for measuring feature adoption and user behavior
- Experience working in environments where technology is being built to serve non-technical end users; you understand the translation layer required
- Familiarity with data platforms (Snowflake, Tableau, or similar BI/analytics stacks) at a conceptual level
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