Responsibilities

• Analyse large datasets using statistical software such as R, SPSS, SAS, Power BI, Tableau, SQL, and Python to identify trends and patterns relevant to marketing strategies.
• Develop comprehensive data visualisations, reports, and interactive dashboards to communicate insights effectively across teams.
• Utilise SQL and Python to extract, manipulate, and manage data from multiple sources for in-depth analysis.
• Conduct market research to understand customer behaviour, preferences, competitor activities, and emerging market trends.
• Monitor and evaluate digital marketing campaigns using Google Analytics and other web analytics tools to assess campaign performance and user engagement.
• Support the development of predictive models, customer segmentation, and marketing optimisation strategies.
• Collaborate with cross-functional teams to translate analytical insights into actionable marketing initiatives.
• Design, update, and maintain website pages, landing pages, and other digital assets using modern web design principles.
• Ensure websites are responsive, user-friendly, visually appealing, and optimised for SEO and conversion.
• Work with HTML, CSS, JavaScript, WordPress, or other website builders/CMS platforms to implement design improvements and marketing content.

Requirements

• Proven experience with data analysis tools such as Tableau, R, SQL, Python, Power BI, SPSS, SAS, or similar statistical software.
• Strong understanding of data visualisation techniques and best practices for presenting complex information clearly.
• Familiarity with market research methodologies and statistical analysis within a marketing environment.
• Experience in web design and website management, including HTML, CSS, JavaScript, WordPress, Wix, Shopify, or similar CMS platforms.
• Understanding of responsive web design, user experience (UX), user interface (UI) principles, and SEO best practices.
• Ability to create and optimise landing pages to improve user engagement and conversion rates.
• Excellent analytical and problem-solving skills with the ability to interpret large datasets accurately.
• Strong organisational skills with the ability to manage multiple projects simultaneously.
• Excellent communication skills with the ability to present technical insights to non-technical stakeholders.
• A degree in Marketing, Data Science, Statistics, Computer Science, Web Design, or a related field is preferred but not essential if complemented by relevant professional experience.

Preferred

• Knowledge of digital analytics platforms, including Google Analytics, is highly desirable.