Senior Marketing Analyst - Prop Trading Firm

prop firm match • Lithuania
Remote
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AI Summary

Drive marketing performance and growth for a global prop trading platform. Own marketing analytics, build attribution models, and optimize budget allocation. Remote, data-driven role.

Key Highlights
Own marketing analytics across channels
Build attribution and unit economics models
Identify growth opportunities and monitor anomalies
Support CRO and experimentation
Key Responsibilities
Produce weekly marketing performance updates
Maintain channel-, country-, campaign-, and audience-level dashboards
Investigate anomalies and surface trends
Build and maintain attribution models
Analyze ROAS, CAC, LTV, retention, and payback by channel/country/campaign/segment
Technical Skills Required
SQL Marketing analytics tools: Google Ads, Meta, GA4 Behavioral analysis Attribution modeling
Benefits & Perks
Compensation: $2,000-$3,500 / month gross
Remote work with strong overlap with CET hours
Quarterly OKR reviews
Nice to Have
Prior experience in fintech, prop trading, or D2C SaaS
Incrementality testing experience
International / multi-market analytics experience

Job Description


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

Improve acquisition efficiency, budget allocation, and market expansion decisions by connecting channel activity to user quality, conversion, commission revenue, and long-term value. Turn marketing performance data into clear recommendations on where to spend, scale, pause, or test next.

Performance objectives

Objective 1 - Own marketing analytics across channels

Outcome: Reliable, consistent reporting across paid ads, email, SEO, lifecycle, organic/social, and market expansion.

Typical tasks:

  • Produce weekly marketing performance updates
  • Maintain channel-, country-, campaign-, and audience-level dashboards
  • Investigate anomalies and surface trends
  • Translate raw performance data into clear narratives

Objective 2 - Build attribution and unit economics models

Outcome: Marketing activity is linked clearly to commission revenue and lifetime value.

Typical tasks:

  • Build and maintain attribution models
  • Analyse ROAS, CAC, LTV, retention, and payback by channel/country/campaign/segment
  • Quantify the financial impact of marketing decisions
  • Partner with Finance to align attribution to revenue recognition

Objective 3 - Identify growth opportunities and monitor anomalies

Outcome: Wasted spend is reduced; new markets and segments are scaled faster.

Typical tasks:

  • Identify opportunities across countries, segments, channels, landing pages, and messaging
  • Proactively monitor anomalies and flag before spend is wasted
  • Recommend reallocation of budget toward higher-ROI surfaces
  • Document and track recommendations through to adoption

Objective 4 - Support CRO and experimentation

Outcome: Better targeting, messaging, and channel mix; higher conversion across paid and organic surfaces.

Typical tasks:

  • Partner with Growth and Marketing on experimentation and budget allocation
  • Define measurement plans for new campaigns before launch
  • Support landing-page experimentation and conversion analysis
  • Quantify experimental lift post-launch

Requirements

What we look for

Must have

  • 2+ years of experience as a Marketing Analyst, Growth Analyst, or similar
  • Marketing analytics tooling: Google Ads, Meta, GA4, and ideally lifecycle/email platforms
  • Strong SQL and behavioural analysis skills
  • Deep understanding of CAC, ROAS, LTV, and attribution
  • Commercial mindset - focus on revenue impact, not vanity metrics
  • Excellent async written communication - we are remote-first

Nice to have

  • Prior experience in fintech, prop trading, or D2C SaaS
  • Incrementality testing experience
  • International / multi-market analytics experience
  • Familiarity with affiliate / partner attribution models

Reporting cadence

  • Reports to: Konstantinos Kattidis, Head of Data & Analytics
  • Direct reports: None
  • Key cross-functional partners: Marketing & Growth, Product, Leadership, Analytics
  • Upward reporting cadence: Weekly 1:1 with Head of D&A; weekly marketing performance readout; quarterly OKR review

Compensation

$2,000-$3,500 / 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

Benefits

Hiring stages

We keep our process simple, transparent, and respectful of your time. Here's what to expect:

  • 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.

  • 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.

  • 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.

  • Real-world task

An exercise using real PFM marketing and growth data. Expect to work with acquisition funnels, channel performance, or campaign attribution - the kind of analysis central to this role.

  • A deep-dive Professional interview

A deep-dive with the Head of Data & Analytics on your growth analytics expertise - how you measure channel performance, approach attribution modeling, design experiments, and turn marketing data into actionable growth decisions.

  • Functional Interview

A broader professional conversation exploring how you collaborate with content, paid, and SEO teams, how you communicate performance to non-technical stakeholders, and how you approach experiment design and growth frameworks.

  • 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:

â–¸ 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.

â–¸ We are an equal opportunity employer and welcome applicants from all backgrounds, experiences, and perspectives.

â–¸ 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.

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