Job Description
Reports to: Director Media & Consumer Marketing (M&CM)
About the Role: The Marketing Effectiveness Lead will be responsible for building and implementing a robust, data-driven marketing measurement framework. A Modern Marketing Measurement Toolkit where each tool shows up with a different cadence of delivery. Identify consistent and scalable measurement capabilities that allow for planning and reporting outcomes. This role will be instrumental in driving data-driven decision-making, optimizing marketing performance, and maximizing ROI.
Key Responsibilities:
Measurement Framework:
• Develop and implement a comprehensive marketing measurement framework, including KPIs, metrics, and attribution models.
• Oversee the implementation of advanced analytics tools and techniques to measure marketing performance.
• Establish a robust data governance framework to ensure data quality and accessibility.
Data Analysis and Insights:
• Analyse marketing performance data to identify trends, opportunities, and areas for improvement.
• Develop insightful reports and dashboards to track key metrics and monitor campaign performance.
• Testing and Experimentation: Co-Design A/B testing road-mapsto optimize marketing campaigns. Analyse test results to identify winning strategies and make data-driven decisions.
Cross-Functional Collaboration:
• Work closely with marketing and finance teams to provide actionable insights that answer business objectives.
• Collaborate with external partners and vendors to leverage their expertise and technology.
Team Leadership:
• Mentor and guide the marketing team on data-driven decision making and best practices.
• Foster a data-driven culture within the organization.
Qualifications
• Experience in a senior Data Science, Data Strategy or Technology Solutions role and leading projects.
• Strong analytical skills, deep understanding of marketing metrics and analytics
• Proven Experience in data strategy & measurement framework capabilities
• Strong understanding of hypothesis testing and measurement methodologies such as frequentist and bayesian approaches, or a strong statistical knowledge and data analysis skills
• Experience with marketing attribution models (e.g., multi-touch attribution, GEO testing & MMM).
• Experience with advanced analytics tools and techniques, such as Google Analytics, Adobe Analytics, and SQL.
• Proficiency in data visualization tools (e.g., Looker, Tableau, Power BI).
• Excellent communication and presentation skills: ability to command a room and captivate through data-led story-telling.
• Ability to work effectively with cross-functional teams.
Additional Information
BeneFITS’
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