Marketing Analyst

Capital.com

Województwo mazowieckie

On-site

PLN 90,000 - 130,000

Full time

6 days ago
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Benefits offered by this job

Competitive Salary
Work-Life Harmony
Annual Performance Bonus
Generous Time Off
Employee Referral Program
Health & Pension Benefits
Workation Days (remote work)

Job summary

Capital.com in Warsaw is seeking a Marketing Analyst to join the Marketing Intelligence & Automation team. You will strengthen measurement foundations by turning marketing data into actionable insights that inform budget decisions and growth strategies across markets.

You will build attribution and MMM models, run incrementality tests, deliver regular reports, and collaborate with MarTech, analytics engineering, Product Marketing and CRM to align metrics with business impact.

Qualifications

  • 3–5 years of experience in marketing analytics or a similar role.
  • Experience in financial services, such as trading, brokerage, fintech or banking is a must.
  • Hands-on experience with attribution modeling and/or marketing mix modeling.
  • Strong SQL skills and experience working with large marketing datasets.
  • Ability to explain complex findings clearly to non-technical stakeholders.

Responsibilities

  • Build, maintain and improve attribution models, and support new attribution model releases.
  • Develop and refine marketing mix models (MMM) to understand channel contribution and guide budget allocation.
  • Design and analyze incrementality tests and experiments to measure the true impact of marketing activity.
  • Deliver regular reporting and deep-dive analysis on channel, campaign and user performance across markets.
  • Turn findings into clear, actionable recommendations for marketing stakeholders, linked to acquisition cost, client value and revenue.
  • Define and document marketing metrics and KPIs so the team works from one source of truth.
  • Improve the measurement inputs that feed our AI-driven budget recommendation and automation systems.
  • Partner with MarTech, analytics engineering and, increasingly, Product Marketing and CRM teams on shared measurement needs.

Skills

Marketing analytics
SQL
Statistics & experimentation
Communication to non-technical
Critical thinking

Tools

Tableau
Google Analytics 4
Python

Job description

We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.

We are looking for a Marketing Analyst to join our Marketing Intelligence & Automation team in Warsaw. Our marketing team already uses an AI-powered decision system to recommend where budget should go. What limits it today is measurement: the sharper our attribution, marketing mix models and experiments, the more decisions we can trust it to make. Your job is to strengthen that foundation and turn marketing data into insights that change how we invest.


Responsibilities:
  • Build, maintain and improve attribution models, and support new attribution model releases.
  • Develop and refine marketing mix models (MMM) to understand channel contribution and guide budget allocation.
  • Design and analyze incrementality tests and experiments to measure the true impact of marketing activity.
  • Deliver regular reporting and deep-dive analysis on channel, campaign and user performance across markets.
  • Turn findings into clear, actionable recommendations for marketing stakeholders, linked to acquisition cost, client value and revenue.
  • Define and document marketing metrics and KPIs so the team works from one source of truth.
  • Improve the measurement inputs that feed our AI-driven budget recommendation and automation systems.
  • Partner with MarTech, analytics engineering and, increasingly, Product Marketing and CRM teams on shared measurement needs.
Requirements:
  • 3–5 years of experience in marketing analytics, growth analytics or a similar role.
  • Experience in financial services, such as trading, brokerage, fintech or banking is a must.
  • Hands-on experience with attribution modeling and/or marketing mix modeling.
  • Strong SQL skills and experience working with large marketing datasets.
  • Solid understanding of statistics and experimentation, including incrementality testing.
  • Strong critical thinking: you structure ambiguous problems, challenge assumptions and connect analysis to business impact.
  • Ability to explain complex findings clearly to non-technical stakeholders.
Nice to have:
  • Python (or R) for analysis and modeling.
  • Hands-on experience with Tableau (or a similar BI tool) and analytics platforms like Google Analytics 4.
  • Experience using AI tools or LLMs for analysis or workflow automation, at work or in your own projects.

What you will get in return:

  • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
  • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
  • Annual Performance Bonus: Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance.
  • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
  • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
  • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
  • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
  • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.
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