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
Reporting
- 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
Responsibilities
Partner with Product and Engineering to shape product decisions through measurement of user behavior, funnel performance, feature impact, experimentation, and conversion. Turn product data into clear recommendations on what to build, improve, stop, or test next.
- 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.
- Build product funnels end‑to‑end across the platform.
- Identify friction points and quantify their impact, turning findings into prioritized recommendations.
- Validate funnel improvements pre/post change.
- Design, analyze, 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.
- Produce product performance updates with strong visual storytelling.
- Partner on roadmap prioritization and launch measurement.
- Define tracking requirements before features ship.
- Present findings in product reviews and leadership forums.
Qualifications
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 – 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
We offer competitive weekly salary, flexible remote work, and opportunities to work on AI‑driven product analytics frameworks. Additionally, we provide continuous learning resources and a culture focused on ownership, clear communication, and impact.
Equal Opportunity Statement
We are an equal opportunity employer and welcome applicants from all backgrounds, experiences, and perspectives. Even if skills are not listed as formal requirements, we value familiarity with the prop trading industry and our mission.