We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
As a Marketing Data Analyst for Shares.com, you will be responsible for analysing performance marketing campaigns and providing actionable insights to drive our marketing strategy. You will work closely with the marketing team to evaluate campaign performance, identify trends, and recommend improvements. Your technical skills in data analysis, along with your strong background in math and statistics, will be crucial in optimising our marketing efforts.

REQUIREMENTS:

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• Advanced SQL skills and experience with large datasets.

• Proficient in Python or R for data analysis and dashboard creation.
• Strong problem-solving skills and adaptability to new tools/technologies.
• Experience in marketing analytics and familiarity with platforms like Google and AppsFlyer.
• Proficient in Tableau.

Nice to Have:

• Degree in Math, Statistics, Data Science, or related field.
• Strong analytical and statistical background.
• Experience with performance marketing tools.
• Excellent communicator with the ability to present data clearly.
• Detail-oriented and highly organised.
• Experience with API integrations (e.g. Google, Facebook, Firebase, AppsFlyer) and/or Python scripting for automation and integrations.

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• Analyse performance marketing campaigns across different channels (Google, Facebook, affiliates, etc.) to assess their effectiveness and ROI

• Develop and optimise complex SQL queries to manage and analyse large datasets
• Use Python/R for data analysis, exploration, and to build predictive models
• Create and maintain dashboards to visualise key marketing metrics and performance indicators
• Identify trends and insights from data to recommend and implement improvements in marketing strategies
• Collaborate with the marketing team to design and execute A/B tests and other experimentations to optimise campaign performance
• Utilise your strong background in maths and statistics to conduct rigorous data analysis and ensure the accuracy of insights and recommendations
• Adapt to new technologies and tools to improve data collection, analysis, and reporting processes