Job 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
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
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
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
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
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
- 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
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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