Data analysis and visualisation including:
• Support the development and execution of our data analytics strategy and roadmap.
• Develop and deploy analytical models to produce analytical solutions and provide insights that support business decisions, including coalition data viewer and expand data viewer.
• Translate business challenges into statistical problems and data analysis.
• Use data analysis techniques including trend analysis, regression analysis and the Monte Carlo simulation.
• Use analytical tools including Azure, Python and SQL to analyse datasets to gain key actionable insights to resolve business problems.
• Present key findings, insights and business recommendations to stakeholders using data storyboarding and visualisation techniques.
• Promote analytics-driven decision-making processes across our business to drive awareness of data led decision making and business opportunities.
• Build and automate data visualisation dashboards using tools such as Tableau and Power BI to enable stakeholder self-service.
• Partner with stakeholders to identify and optimise analytical tools including Dataiku, Python and Azure.
• Statistical analysis.
• Agile project management.
• Big data management and analytics.
• Data monetisation.
• Financial mathematics.
• Business acumen entry.
• Emerging technologies.
• Client experience, behaviours and preferences.
• Financial services regulatory experience.
• Data governance and management.
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