Product Analyst

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Prop Firm Match

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

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📋 Description

• **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: Konstantinos Kattidis, 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.

🎯 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 • - Prior experience in fintech, prop trading, or B2C SaaS. • - Familiarity with attribution and funnel analytics at scale. • - Experience defining and validating product hypotheses end-to-end. • - Commercial mindset focused on outcomes, not just metrics.

🏖️ Benefits

• Hiring stages**We keep our process simple, transparent, and respectful of your time. **Here’s what to expect: • 1. Application screening: • We carefully review all applications to identify candidates whose background aligns with the role’s requirements. You’ll receive a timely and transparent update on your application status. • 2. Video intro + role fit questionnaire: • A short async step - no scheduling required. You'll record a brief video introduction and complete a written questionnaire. This helps us understand who you are, your relevant background, and how your experience aligns with the role without either side committing to a live call upfront. • 3. Discovery HR Interview • A conversation with our HR team focused on company and culture match. We'll walk you through how PFM works, what remote ownership looks like in practice, and what success in this role looks like. You'll have plenty of space to ask questions and share your goals. • 4. Real-world task • A scoped exercise using real PFM product data. Expect to work with user behavior, funnel metrics, or feature performance - the kind of challenges you'd actually encounter in this role. • 5. A deep-dive Professional interview • You will meet the Head of Data & Analytics at PFM to focus on your product analytics expertise - how you define and track metrics, interpret user data, and translate findings into decisions that shape the product roadmap. • 6. Functional Interview • A broader professional conversation exploring how you collaborate with product**managers and designers, communicate insights to non-technical stakeholders, and approach ambiguous product questions with limited data. • 7. Peer & values conversation • A cross-team interview evaluated against PFM's structured values scorecard. You'll meet a peer and a bar raiser from outside the immediate team. • If there's a strong mutual match, we start with an informal conversation to align on expectations, then follow up with a formal written offer. Full transparency throughout, and time for you to make an informed decision. • **Before applying take into account that:** • ▸ If you don’t meet every single qualification but believe you can excel in the role based on what it requires - we encourage you to apply. • ▸ We are an equal opportunity employer and welcome applicants from all backgrounds, experiences, and perspectives. • ▸ Even if it’s not listed as a formal requirement, we truly value candidates who have clear familiarity with the prop trading industry and us, our mission and what we do.******Not the right fit for this role?** • If this role isn’t the right match but you have experience in trading operations, customer success, compliance, support, partnerships, or a related area - we still want to hear from you. Join our Talent Pool and we’ll reach out when a relevant role opens. Every submission is reviewed, and the pool is always the first place we look before opening a new search.