Salary R 800,000.00 to R 1,000,000.00 per annum (depending on experience) Location Cape Town (Hybrid – 3x per week in-office) Overview Be a driving force in a fast‑growing, innovative online lending business that is revolutionizing financial solutions through technology and data. The team is at the cutting edge of precision analytics, seeking a Senior Commercial Marketing Analyst to own and optimise the entire customer acquisition and conversion funnel. This is a pivotal, high‑impact role where the analyst will leverage data science, machine learning, and deep‑dive analytics to directly influence business profitability and growth. The successful candidate won’t just report on marketing performance – they’ll be instrumental in developing and implementing predictive models that shape the company’s marketing spend, personalization strategy, and overall customer experience. They’ll be joining a highly collaborative and innovative team, working on cutting‑edge analytics projects that directly impact business growth. If you are a technically astute marketing analyst who thrives on solving complex optimisation problems and translating data into actionable business strategies, this is your chance to make a measurable impact and lead the charge in a dynamic fintech environment. Duties & Responsibilities Funnel Analysis & Optimization: Analyse the entire customer journey, from first touchpoint to loan funding, to identify key customer segments, predict drop‑off points, and recommend optimisations. Predictive Modelling: Develop and deploy machine learning models to predict customer intent, forecast conversion probabilities, and optimise marketing spend for maximum efficiency. Customer Acquisition & Attribution: Design and implement robust marketing attribution models to accurately track the effectiveness and ROI of all acquisition channels (e.g., organic, paid, social, referral). Experimentation and CRO: Lead A/B testing and multivariate analysis initiatives to continuously improve user experience, conversion rates (CRO – Conversion Rate Optimisation), and funnel personalisation. Data Analysis & Reporting: Use tools like SQL to analyse large datasets and build real‑time dashboards for monitoring key funnel performance metrics using tools like Tableau or Redash. Cross‑Functional Alignment: Work closely with the digital marketing, product, and other teams to align strategies, improve customer targeting and personalisation, and embed data‑driven insights into the customer journey. Strategic Development: Develop predictive models for lead scoring and loan eligibility likelihood to enhance decision‑making across the business. Requirements Education: A Degree in a relevant field. Experience: 3+ years of hands‑on experience in marketing analytics. Analytics Tools: Essential experience with digital marketing analytics and tracking, including Google Analytics and Google Tag Manager, as well as marketing attribution. Technical Proficiency: Comfortable working with data (SQL, Python, or R experience is a plus, but not required to be an expert). Modelling Expertise: Knowledge of and practical experience with machine learning techniques (regression, clustering, classification) specifically for funnel optimisation. Optimization Skills: Expertise in A/B testing methodologies and CRO (Conversion Rate Optimisation). Data Visualization: Background in data visualisation tools such as Tableau, Redash, or Looker for building monitoring dashboards and generating insights. Domain Knowledge: Demonstrated understanding of the customer acquisition and conversion lifecycle in an online business. #J-18808-Ljbffr