Senior Growth Analyst

• Analyse daily product turnover and assess the performance of trading channels, identifying trends, patterns, and opportunities for improvement.
• Responsible for creating end-to-end solutions which includes problem definition, data acquisition, data exploration and visualisation
• Engage with Product Divisions and respective Division FA’s to monitor budgets against actual performance.
• Collaborate with the Marketing team and Product teams to develop and implement targeted marketing strategies for product campaigns, leveraging data-driven insights to maximise channel growth.
• Generate and test hypotheses and provide actionable and measurable insights
• Build dashboards and reports to help answer business questions
• Interpret and analyse data and present to stakeholders in presentations or reports
• Liaise with data delivery teams (Business Intelligence and Data Warehouse) to ensure accuracy and availability of trader performance related data
• Proactively seeking new knowledge in data analytics and visualisation
• Monitor market trends, competitor activities, and industry developments to identify opportunities for channel expansion, optimisation and growth.

• 3-Year related Degree (In a quantitative field such as Data, Finance, Mathematics, Economics, Engineering etc.)
• 7+ years’ experience in data analytics.

• Experience using Power BI and SQL
• Strong understanding of metrics like trading volume, channel conversion, and merchant performance.
• Knowledge of analytical methods (e.g. cohort analysis, regression, hypothesis testing).
• Familiarity with campaign metrics, budgeting, and performance tracking.
• Understanding of BI tools, data pipelines, warehousing, and governance.
• Awareness of fintech trends and how to translate data into business decisions.
• Knowledge of digital products and the fintech industry is preferred.

• Analytical Thinking – Ability to interpret complex data to identify trends, patterns, and actionable insights.
• Technical Proficiency – Skilled in using SQL, Python, and BI tools to extract, analyse, and visualise data.
• Business Acumen – Understands commercial drivers and aligns analysis with strategic business goals.
• Communication – Clearly conveys data-driven insights to stakeholders across varying levels of technical expertise.
• Collaboration – Works effectively with cross-functional teams including Product, Marketing, and Finance.
• Execution – Delivers high-quality outputs independently and meets tight deadlines in a dynamic environment.
• Ownership – Takes full responsibility for projects from start to finish with minimal supervision.
• Curiosity – Actively seeks new knowledge, tools, and approaches to improve analytics and outcomes.
• Adaptability – Thrives in changing environments and adjusts approaches based on evolving priorities.
• Problem Solving – Applies structured thinking to break down problems and propose practical, data-backed solutions.

Flash Group