Lead Insight Analyst - Marketing & Acquisition

Who We Are

Since 1843, The Economist Group has championed independence, excellence and openness, helping people understand and tackle the critical challenges shaping the world. Today, we are building on that legacy as a global media and information-services company powered by digital innovation, analytical rigour and evidence-based insight. Across our three businesses - The Economist, Economist Enterprise and Economist Education - we deliver trusted analysis and insights to individuals and organisations in more than 170 countries. United by a shared purpose to drive progress, we empower decision-makers to make sense of change and chart a course through an increasingly complex world. As a colleague, you will be part of a culture that values ideas, encourages ownership and holds itself to high standards. We invest in people who are curious, thoughtful and adaptable, whether they are launching new products, reporting on global events or harnessing emerging technologies such as AI to improve how we work. Here, fresh thinking is taken seriously, ambition is matched by integrity, and great work is recognised. Working across disciplines, geographies and perspectives, we are united by a commitment to innovation, excellence and creating meaningful impact.

Purpose of Role

The Lead Insight Analyst (Marketing & Acquisition) is a key role within our evolving DRI function. At The Economist, we are moving beyond traditional descriptive reporting toward a "Decision Science" model. Your purpose is to act as a trusted advisor to our Marketing, Trading, Finance and Product teams, shifting the conversation from "what happened" to "why it happened" and "what we must do next." You will play a key role in the analytical narrative for our customer acquisition efforts, leveraging our unified data lake to understand complex digital behaviours. You aren’t just an expert in SQL; you are a consultant who uses data to influence high-stakes decisions around marketing and media optimisation, conversion rate optimisation, audience insight, proposition development and subscriber LTV. As a Lead, you will also be a torch-bearer for excellence, mentoring senior and junior analysts to ensure our team is "fit for an AI-powered future."

Role Responsibilities

• Strategic Partnership: Work closely with the Marketing, Finance, Trading and Product teams. Understand their core business problems and translate them into robust analytical projects and briefs.
• Diagnostic & Prescriptive Analytics: Move beyond the dashboard. Use advanced techniques (e.g., causal inference, churn propensity, cohort analysis, customer value modelling) to identify the true drivers of customer acquisition, marketing effectiveness and long-term customer value.
• Roadmap Input: Proactively identify and size opportunities within the data to inform the Marketing and Product roadmaps, ensuring we focus on the most commercially material opportunities.
• Experimental Excellence: Lead the design and evaluation of complex A/B tests. Ensure we aren't just measuring "lift," but understanding the long-term impact on subscriber value and retention.
• Holistic Storytelling: Collaborate with the Research and Data Science teams to integrate qualitative survey data with quantitative behavioural data, creating a complete view of the customer.
• Data Governance & Quality: Ensure the integrity of our tracking. Work with Insight Products to ensure our data "observability" allows for decentralised, high-speed insight creation.
• Talent Development: Act as a mentor to other team members, fostering a culture of continuous learning, technical rigor, and commercial urgency. Grow your own people and leadership capabilities to ready yourself for more senior roles.

CANDIDATE PROFILE

Must-Have Experience & Expertise

• Commercial Mindset: A track record of delivering insights that have a material, quantified impact on revenue or retention. You take personal agency for commercial outcomes. You are comfortable operating as part of an extended B2C team in an environment where rigorous and fact-based, but also bold and fast-paced, decision-making is the norm.
• Media and Marketing Optimisation: Extensive experience, working in close partnership with the acquisition and finance teams, to measure effectiveness of our paid, owned and earned media while identifying opportunities for customer growth and improvements in Return on Advertising Spend (ROAS). Experience of building or commissioning marketing mix models and deterministic attribution models is a must-have – as is demonstrable experience of applying these capabilities to deliver measurable commercial outcomes.
• Conversion Rate Optimisation (CRO): Working with the acquisition and product teams to measure and optimise traffic volumes, conversion rates and Customer Lifetime Value (CLTV) of our B2C websites and apps. Experimentation is a core lever at The Economist so you must have experience of designing and measuring sophisticated AB tests in a complex technical environment using advanced experimentation techniques.
• Advanced Technical Toolkit: Expert-level SQL is a baseline. You should have experience with large-scale data environments (e.g. Snowflake, Databricks or BigQuery), visualisation tools (e.g. Tableau) and digital analytics (e.g. Amplitude, Adobe or Google Analytics).
• Trusted Advisor: Exceptional ability to "translate" technical findings for C-suite and non-technical stakeholders. You don't just present data, you present a point of view, a 'so what' and a 'what next'. Regular deep dives to diagnose and quantify performance drivers – and to identify quantified improvement opportunities – are an important element of this role. You will be routinely asked to advise very senior stakeholders on high-stakes decisions.
• 'T-Shaped' Professional: Deep expertise in subscription/behavioural analytics with a broad understanding of how consumer research, market intelligence, data science and AI can be integrated into the analyst workflow.
• Rigorous Methodology: Experience in advanced analytical techniques such as causal inference modelling or econometrics to distinguish between correlation and causation.
• Leadership Presence: Experience in leading projects or small teams, with the ability to manage stakeholder expectations, make decisions, deliver quickly and prioritise high-value work under pressure.
• People Leadership: Demonstrated track record of developing more junior team members and of lifting the performance and capabilities of your team. Has an ambition to move into a formal people management role in the future.

Desirable Experience

• Domain Expertise: Prior experience in a B2C subscription, media, or e-commerce environment is highly desirable.
• Advanced Tooling: Experience in Python/R for advanced statistical analysis.
• AI Integration: A forward-thinking approach to, and a track record of, using AI tools to increase the speed and quality of routine analytical tasks and improve the quality and usability of our outputs.
• Pricing Insight: Experience in modelling, forecasting and measuring the impact of pricing, promotional and discounting strategies.

Working Arrangements

The majority of our roles operate on a hybrid working pattern, with 3+ days office attendance required.

AI usage for your application

We are an innovative organisation that encourages the use of technology. We recognise that candidates may utilise AI tools to support with their job application process. However, it is essential that all information you provide truthfully and accurately reflects your own experience, skills, and qualifications.

What We Offer

Our benefits package is designed to support your wellbeing, growth, and work-life balance. It includes a highly competitive pension or 401(k) plan, private health insurance, and 24/7 access to counselling and wellbeing resources through our Employee Assistance Program. We also offer a range of lifestyle benefits, including our Work From Anywhere program, which allows you to work from any location where you have the legal right to do so for up to 25 days per year. In addition, we provide generous annual and parental leave, as well as dedicated days off for volunteering and even for moving home. You will also be given free access to all The Economist content, including an online subscription, our range of apps, podcasts and more.