Marketing Analyst

Salt; Wes-Kaap; Hybrid; ZAR 800 000 - 1 000 000; Full time

Job summary

A dynamic fintech company in South Africa is seeking a Senior Commercial Marketing Analyst to optimize the customer acquisition and conversion funnel through data science and innovative analytics. The ideal candidate will leverage predictive modeling and experimentation to influence business profitability in a collaborative team environment. This role offers a competitive salary and a hybrid work model, requiring 3 days in the office per week.

Qualifications

• 3+ years of hands-on experience in marketing analytics.
• Essential experience with digital marketing analytics and tracking.
• Knowledge of machine learning techniques for funnel optimisation.

Responsibilities

• Analyse customer journey to identify key segments and recommend optimisations.
• Develop machine learning models to predict customer intent and optimize marketing spend.
• Lead A/B testing initiatives to improve conversion rates.

Skills

Data Analysis

A/B Testing

Predictive Modelling

Customer Acquisition

Data Visualization

Education

Degree in a relevant field

Tools

Google Analytics

Tableau

SQL

Python

Looker

Job description

Salary: R 800 000,00 to R 1 000 000,00 per annum (depending on experience)

Location: Cape Town (Hybrid - 3 x 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. They are at the cutting edge of precision analytics, seeking a Senior Commercial Marketing Analyst to own and optimize 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 the 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 environment, working on cutting-edge analytics projects that directly impact business growth. If you are a technically astute marketing analyst who thrives on solving complex optimization 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 and 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 optimize 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.

Please note: Due to the high volume of applications, only candidates selected for an interview will be contacted. If you do not hear from us within two weeks, please consider your application unsuccessful at this time. We thank you for your interest in the role and wish you the best in your career search.