Data-Driven Marketing Strategist

4 weeks ago

London, Greater London, United Kingdom Help Me Settle Ltd Full time

Unlock the Power of Data-Driven Marketing

At Help Me Settle Ltd, we're revolutionizing the way we move and manage the world's money. As a key member of our team, you'll play a crucial role in creating a new network for global financial transactions.

Job Overview

We're seeking a highly analytical and innovative Marketing Scientist to join our Marketing Science team. In this high-impact role, you'll contribute to projects that integrate best-in-class marketing mix models, attribution, and incrementality testing to deliver actionable insights that drive marketing effectiveness across all channels.

Key Responsibilities

  • Enhance and implement measurement frameworks that assess marketing performance across all channels to ensure data-driven strategies to accelerate growth. Some examples of how you'll do this are:
    • Design, implement, and analyze incrementality tests to measure the true impact of marketing activity.
    • Provide alternative approaches to improve our marketing mix models.
    • Build elasticity curves to help marketing teams optimize and maximize their strategies.
    • Build data models for our measurement infrastructure.
    • Create data visualizations to communicate insights to stakeholders, providing actionable recommendations.
  • In this end-to-end role, you'll work closely with cross-functional teams, including marketing, data science, analytics, finance, and engineering to deliver on your projects.
  • Play a key role in contributing to the growth of the company by enhancing the effectiveness of marketing efforts.
  • Collaborate with diverse teams such as marketing, analytics, data science, finance, and engineering.
  • Work with cutting-edge methodologies and a modern data stack, including dbt and Looker.

Requirements

  • Strong background in statistics and marketing.
  • Experience in a similar marketing science/data science role.
  • Experience building or working with attribution models, marketing mix models, and causal inference methodologies.
  • Ability to tell a story with data and provide actionable insights.
  • Advanced SQL and Python/R skills, and can work with complex data models.
  • Experience with data visualization tools (Looker, Superset, etc.).

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