Lead Insight Analyst – Marketing & Acquisition

Overview

In this role you drive data-enabled acquisition for The Economist’s B2C subscriptions. You collaborate with marketing, product and finance to measure media effectiveness, optimize traffic and conversions, and improve Customer Lifetime Value. You’ll lead a multi-disciplinary data roadmap and mentor a team of data professionals to deliver commercial impact. This is a high-visibility position shaping strategy through analytics, insights and trusted stakeholder partnerships.

Pay / Benefits

• pension or 401(k) plan
• private health insurance
• Employee Assistance Program (EAP)
• Work From Anywhere up to 25 days/year
• generous leave including parental and volunteering days
• free access to The Economist content and apps

Responsibilities

• Commercial exploitation of data to improve B2C acquisition performance
• Own and prioritise data/analytics roadmap for marketing and customer acquisition
• Lead, develop and coach a data team to deliver impactful insights
• Act as trusted adviser to stakeholders, communicating findings and options clearly
• Collaborate with cross-functional teams (BI, Data Science & AI, Data Engineering, BA, Data Governance, Research) to align on goals
• Support shaping business strategy with data-enabled decision-making
• Measure and improve ROAS, CRO, traffic volumes, conversion rates and CLTV across websites and apps

Key requirements

• Commercial application of data and analytics to deliver measurable outcomes
• Experience across analytics and insight disciplines; proficient with established methodologies and emerging technologies
• Strong understanding of analyzing complex multi-channel data sets across platforms
• SQL expert; Python and/or R experience preferred
• Experience with cloud data platforms, web analytics tools, BI tools (e.g., Tableau)
• Experience with marketing data integration (e.g., Supermetrics), MMM models, CDP (e.g., Blueconic), A/B testing and causal inference
• People management and coaching; ability to inspire and set high standards
• Excellent communication and stakeholder management; ability to influence cross-functional teams

• collaboration
• commercially-oriented mindset
• clear communication
• SQL
• Python or R
• cloud data platforms

…