Senior Growth Analyst

Job Reference: F | Department: Trader | Job Type: Permanent | Positions Available: 1 | Salary: Market Related Overview The Senior Growth Analyst within the Flash Trader division will play a crucial role in turning data into actionable insights, analysing product and performance data to ensure the success of our trading channels. Responsibilities 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 seek new knowledge in data analytics and visualisation. Monitor market trends, competitor activities, and industry developments to identify opportunities for channel expansion, optimisation and growth. Provide ongoing coaching and feedback, proactively manage team performance, and support employee career development. Qualifications Minimum Requirements: 3‑year related degree (quantitative field such as Data, Finance, Mathematics, Economics, Engineering, etc.) and 7+ years’ experience in data analytics. Required knowledge / technical skills: 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. Attributes 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. #J-18808-Ljbffr