Marketing Analytics Manager

Job Title: Marketing Analytics Manager Client Location: Central London - Hybrid (3 days on-site) Starting: Feb 2026 Pay Comments: £278.48 per day, PAYE (37.5hrs/week) Hours: Full-time Duration: 6-12 months - TBC Join a pioneering team at a leading company that is revolutionizing its industry through data-driven insights and strategic innovation. This organization is dedicated to empowering its users and transforming how they interact with financial and business services, driving economic prosperity for all. We are seeking a visionary individual to step into a critical role where you will be the architect of measurement truth, fundamentally shifting how marketing investments are understood and optimized. Your expertise will be pivotal in transitioning from correlation-based reporting to causal-based decision-making, directly influencing millions of dollars in marketing spend and shaping the future growth of our offerings. This is an incredible opportunity to make a tangible impact, drive strategic direction, and elevate the entire marketing function. In this dynamic role, you will be at the forefront of marketing analytics, stewarding a cutting-edge data strategy that leverages advanced modeling, secure data environments, and rigorous experimentation. You will not just report numbers; you will uncover the "why" behind performance, guiding every dollar of marketing investment with precision and foresight. Your work will directly inform leadership decisions, optimize budget allocation, and codify best practices that will define our marketing success. This is a short term 6-12 months contract (TBC), with hybrid working pattern, offering £278.48 per day – 37.5 hrs/week – (PAYE). This role is open for a limited time. Next steps will be shared with shortlisted candidates by 10AM on Wed, 13th Jan. Due to the high volume of applicants, we may be unable to reply to each applicant individually. • • Here’s how you’ll make an impact: • • • • • Strategic Modeling & Budget Optimization: • • You will be the central figure in translating complex analytical outputs into actionable budget recommendations. • Utilize insights from Marketing Mix Models (MMM), including response curves and saturation analysis, to provide clear, actionable budget allocation strategies. • Present inputs for monthly "Investment Optimization" meetings with leadership, defending budget shifts based on marginal ROI (mROI) forecasts. • Develop predictive models to forecast business outcomes under various economic and budgetary scenarios, acting as the strategic "radar" for the marketing department. • • • Data Clean Room & Advanced Analytics: • • You will lead the charge in harnessing secure data environments for deep customer understanding. • Serve as the analytical lead for our Data Clean Room (DCR) strategy, specializing in advanced analytics platforms. • Write and optimize complex SQL queries to seamlessly integrate hashed first-party customer data with platform exposure data. • Leverage DCRs to conduct sophisticated audience science, moving beyond generic segments to engineer precise customer cohorts based on lifetime value (LTV) and retention probability. • • • Learning Agenda & Causal Experimentation: • • You will champion a culture of continuous learning and rigorous testing. • Own the organizational Learning Agenda, defining a quarterly roadmap of hypotheses and prioritizing tests based on potential business impact and estimated confidence intervals. • Design and execute rigorous Conversion Lift Studies (CLS) and Brand Lift Studies (BLS), including calculating power requirements, defining holdout groups, and overseeing technical implementation. • Conduct meta-analysis across multiple experiments to codify "best practices" for creative and media teams, driving innovation and efficiency. • Act as a mentor and educator to the broader marketing team, fostering a deeper understanding of "value metrics" (incremental sales, profit) over "vanity metrics" (clicks, ROAS). • Communicate complex analytical findings effectively, both verbally and in writing, to diverse business partners. • Stay ahead of industry standards and best practices, continuously exploring and evaluating new tools and technologies to enhance reporting and analytical capabilities. • • What you'll bring: • • • • Must-Have Qualifications: • • • Experience in marketing analytics/science • Bachelor’s or Master’s degree in a quantitative field (e.g., Economics, Statistics, Mathematics, Physics, Data Science). • Advanced SQL proficiency, including the ability to write complex Common Table Expressions (CTEs), window functions, and optimize joins for distributed systems. • Proven experience building or managing Marketing Mix Models (MMM), with a strong understanding of Bayesian inference, adstock transformations, and saturation curves. • • Nice-to-Have Qualifications: • • • Hands-on experience with at least one major Data Clean Room (DCR) environment is highly preferred. • A deep understanding of hypothesis testing, confidence intervals, p-values, and selection bias – you understand not just • that • a test failed, but • why • . • Exceptional storytelling ability, capable of translating complex analytical concepts, such as "Posterior Distributions," into clear, compelling narratives that resonate with senior leadership. • Understanding of AdTech and paid media mechanics, margin profiles, and the critical distinction between Return on Ad Spend (ROAS) and Customer Acquisition Cost (CAC). • Well-rounded interpersonal and communication skills, with a proven capacity to build strong relationships and collaborate effectively with multiple stakeholders. Client Description: Our Client is a global technology platform that specialises in overcoming the world’s most important financial challenges. Their products and services are driven by artificial intelligence, and their accounting software is one of their most recognisable creations. Considered one of the top companies to work for, they are proud of their company culture and entrepreneurial spirit. Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.