Job Description

You will be an ideal candidate if you:

• Have completed a degree in statistics, mathematics, computer science, engineering, or a related field.
• At least 3 years of experience in data and analytics, preferably in a financial services or regulatory environment
• Proficiency in SQL, Python, R, or other programming languages for data analysis
• Experience in using data visualization tools such as Power BI, Tableau, QlikView, or similar.
• Experience in managing a team of technical professionals.
• Strong analytical, problem-solving, and communication skills
• A customer-centric and results-oriented mindset
• A willingness to learn, adapt, and collaborate with others. 

Responsibilities:

• Gathering, cleaning, analyzing, and visualizing data from various sources, using best practices and tools
• Creating and maintaining dashboards and reports that provide meaningful insights and actionable recommendations.
• Collaborating with other departments and stakeholders to understand their data needs and deliver solutions that meet or exceed their expectations.
• Ensuring data quality, integrity, security, and compliance with relevant policies and standards.
• Staying updated with the latest trends and developments in data and analytics and applying them to your work.
• Balance the achievement of business value with implementation of integrated localised data and data risk management practices and processes.
• Establish mutually beneficial relationships with stakeholders, that support thought leadership, innovative and integrated practice solutions.
• Provide strategic direction on the functional interpretation and articulation of knowledge through application of data insights and analytics to grow the brand and thus the business.
• Drive cross segment integration between data and analytics to realise value of data as an asset while meeting business and function related data and analytics requirements to enable a platform business.
• Lead data and analytics function for big, complex areas to create business value through extraction of data and implementation of analytics models for use across the group.
• Facilitate the formalising of conclusions, emerging implications and recommendations that are actionable, to business
• Think out of the box whilst explaining the impact of new ideas on the business within the bigger picture
• Implement and provide input into the development of governance and compliance procedures and processes within area of accountability and identify risks.
• Monitor changes in legislation, regulations, initiatives and relevant industry practices.
• Ensure drafting and implementation of appropriate interventions.
• Model and drive a data driven culture that values data as an asset with business value.
• Assume accountability for information management i.e., information architecture, metadata, master and reference data, data development and warehousing, content, document and records, data quality, storage and operations, information security and data privacy management, and analytics practices across line of business, leveraging existing structures and capabilities.
• Create a strategic roadmap for achievement of outputs or deliverables
• Integrate data and analytics value chain across the relevant line of business, identifying opportunities for shared value