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Open nowPosted 65 days ago

Marketing Analytics & Attribution Manager – FX & CFDs

ThinkMarkets7 open roles

Where
London, England, United Kingdom
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Your applicationOpen nowMarketing Analytics & Attribution Manager – FX & CFDsThinkMarkets · London, England, United Kingdom

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on ThinkMarkets's own form.

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. ThinkMarkets postings stay open a median of 8 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 65 days ago

ThinkMarkets median: 8 days open

The posting

ThinkMarkets is a global financial technology company, specializing in providing multi-asset trading solutions to thousands of clients around the world. With our flagship ThinkTrader platform, we make it available for our clients to trade the world 24-hours a day. Our mission is to bridge the gap between traders, investors, and platforms by allowing access to global markets and thousands of products thus providing our clients the ability to trade the world in the palm of their hand. We use the latest technologies to give traders seamless access to our proprietary trading platforms.

We are seeking a Marketing Analytics and Technology Manager to oversee the implementation and optimization of marketing technology solutions, data analysis, and revenue attribution. The role focuses on accurately measuring revenue generated from various marketing efforts and optimizing these channels for enhanced performance. The successful candidate will collaborate with marketing, finance, and product teams to gather actionable insights and develop strategies that enhance overall business outcomes.

Key Responsibilities:

Data Analysis and Insights:

  • Collect and analyze marketing data from various channels (paid media, social media, email, etc.) to evaluate campaign performance and customer behavior.
  • Provide insights on key metrics such as return on investment (ROI), customer acquisition costs, and lifetime value.

Revenue Tracking and Attribution:

  • Develop and maintain models for accurate revenue attribution across marketing touchpoints.
  • Ensure proper tracking of user journeys, conversions, and revenue through analytics platforms (e.g., Google Analytics, Mixpanel).

Analytics and Reporting:

  • Build and maintain dashboards to report on key performance indicators (KPIs), conversion rates, and ROI.
  • Prepare regular reports on marketing performance, revenue contributions, and actionable insights, and present them to senior management.

Data Layers and Technology Integration:

  • Develop and manage data layers for analytics tools like Google Tag Manager, ensuring data accuracy and consistency across platforms.
  • Configure and integrate marketing technology tools (e.g., CRM, email platforms, analytics systems) to ensure seamless data flow and accurate reporting.

Cross-functional Collaboration:

  • Collaborate with marketing, sales, IT, and finance teams to optimize marketing technology systems, improve tracking accuracy, and drive overall business performance.
  • Partner with finance teams to reconcile marketing expenses and revenue contributions.

Requirements:

  • Bachelor's degree in marketing, Data Science, Computer Science, or a related field is required.
  • 5 years of experience in data analysis, marketing technology, or revenue attribution would be ideal.
  • Expertise in marketing attribution models and analytics tools such as Google Analytics, Mixpanel, and Google Tag Manager.
  • Experience with marketing technology integrations (e.g., CRM, email, and analytics platforms) and data management.
  • Strong analytical and problem-solving skills, with the ability to deliver actionable insights and optimize marketing efforts.
  • Excellent communication skills, with the ability to present findings to senior management and work collaboratively with cross-functional teams.
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