Product Analyst (Fintech)

TL;DR

Product Analyst (Fintech): Partnering with Product and Engineering to shape product decisions through measurement of user behavior, funnel performance, and experimentation with an accent on data-driven recommendations. Focus on building reliable product analytics infrastructure, designing A/B tests, and communicating insights to drive roadmap prioritization.

Location: Remote, with strong overlap with CET hours (4+ hours of overlap required).

Salary: $2,500–$4,500 / month gross

Company

A leading platform for discovering, comparing, and selecting top proprietary trading firms.

What you will do

• Own product analytics across onboarding, rankings, quizzes, and checkout flows.
• Build and maintain product funnels to identify friction points and conversion opportunities.
• Design, analyze, and document A/B tests to validate product decisions.
• Define and monitor product KPIs, maintaining dashboards for cross-functional teams.
• Communicate insights through visual storytelling to align Product, Engineering, and Leadership.
• Define tracking requirements before new features are shipped.

Requirements

• 2+ years of experience as a Product Analyst or Data Analyst on a product team.
• Strong proficiency in SQL and product analytics tools like PostHog, Amplitude, or Mixpanel.
• Proven experience in experimentation design and A/B testing.
• Strong statistical thinking, including significance, power, and segmentation.
• Excellent async written communication skills.
• Ability to work with a 4+ hour overlap with CET hours.

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.

Culture & Benefits

• Fully remote, global team.
• Culture valuing ownership, clear communication, and practical impact.
• Focus on evidence-based decision-making.
• Flexible working hours within the required CET overlap.

Hiring process

• Application screening followed by an async video intro and questionnaire.
• Discovery HR interview and a real-world data task.
• Deep-dive professional, functional, and peer/values interviews.