Job Opportunities API

Prop Firm Match Global FZCO is a leading platform for discovering, comparing, and selecting top proprietary trading firms. We provide traders with tools and features to easily compare challenge details, read verified reviews, see accurate payout data, and much more.  We're a fast-moving, fully remote team with members from all around the world caring deeply about the quality of what we build. Our culture values ownership, clear communication, and practical impact over fluff. Whether you're a trader, technologist, marketer, or operator - your work here shapes how thousands of users find and trust prop firms. About the department Data & Analytics is the function that turns raw business data into decisions. We own the data platform, product analytics, marketing attribution, and revenue operations analytics. Our current priority is building reliable data infrastructure that supports both day-to-day reporting and the next wave of AI-driven workflows at PFM. About the role Partner with Product and Engineering to shape product decisions through measurement of user behaviour, funnel performance, feature impact, experimentation, and conversion. Turn product data into clear recommendations on what to build, improve, stop, or test next. Performance objectives Objective 1 - Own product analytics and KPIs Outcome: Clear, ongoing visibility into activation, engagement, conversion, retention, and feature adoption across the platform. Typical tasks: Own analytics across onboarding, rankings, quizzes, comparisons, firm pages, and checkout flows. Define and monitor product KPIs. Maintain product dashboards used by Product, Engineering, and Leadership. Investigate anomalies and surface trends weekly. Objective 2 - Build and maintain product funnels Outcome: Drop-off points are identified faster; the biggest conversion opportunities are surfaced and prioritised. Typical tasks: Build product funnels end-to-end across the platform. Identify friction points and quantify their impact. Turn findings into prioritised recommendations for Product and Engineering. Validate funnel improvements pre/post change. Objective 3 - Lead experimentation Outcome: Stronger experimentation culture; product decisions are validated rather than debated. Typical tasks: Design, analyse, and document A/B tests. Help build PFM's experimentation framework. Quantify feature impact pre- and post-launch. Train product and engineering teams on test design. Objective 4 - Communicate insights to drive decisions Outcome: Product, Engineering, and Leadership are aligned on shared evidence; high product-team satisfaction with insight quality. Typical tasks: Produce product performance updates with strong visual storytelling. Partner on roadmap prioritisation and launch measurement. Define tracking requirements before features ship. Present findings in product reviews and leadership forums. Reporting cadence Reports to: Head of Data & Analytics. Direct reports: None. Key cross-functional partners: Product, Engineering, Leadership, Marketing. Upward reporting cadence: Weekly 1:1 with Head of D&A; sprint-level product reviews; quarterly OKR review. Compensation $2,500–$4,500 / month gross Location & work setup Remote, with strong overlap with CET hours (4+ hours of overlap). Working hours: roughly 9 AM – 6 PM CET, with reasonable flexibility. Employment type: Full-time. Requirements What we look for Must have 2+ years of experience as a Product Analyst or Data Analyst on a product team. Strong SQL and product analytics tooling (PostHog, Amplitude, Mixpanel, or similar). Experimentation design and A/B testing experience. Statistical thinking -  comfortable with significance, power, segmentation. Visual storytelling skills -  can turn data into a clear narrative. Excellent async written communication -  we are remote-first. Nice to have Pr