Associate Director - Data Analytics

Key Responsibilities:

• Utilise structured data and financial modelling experience to drive actionable insights and support strategic decision-making.
• Conduct transaction analysis to identify trends and opportunities.
• Leverage BI tools like Power BI, Qlik, Tableau, and Microsoft SQL for data visualisation and reporting.
• Develop end-to-end knowledge of data warehousing and reporting processes.
• Identify and implement process improvements in a controlled manner.
• Communicate complex insights to key stakeholders and clients in a compelling and easy-to-understand manner.
• Utilise statistical methodologies and data analysis techniques such as clustering.
• Demonstrate proficiency in Python/R and cloud technologies (AWS, MS Azure, GCP).
• Stay up-to-date with the latest tools and techniques in the field of data analytics.
• Collaborate with cross-functional teams to drive data-driven decision-making across the organisation.

Qualifications:

• Minimum of 6 years of experience in the Business Intelligence/Data Analytics space.
• A 2.1 or higher university degree (or equivalent) in Computer Science, Mathematics, Statistics, or equivalent.
• Strong numeracy and analytical skills with a deep understanding of data management.
• Proven expertise in BI tools like Power BI, Qlik, Tableau.
• Proficiency in Microsoft SQL (at least 3 years of experience).
• Proficiency in Python/R (at least 2 years of experience).
• Strong knowledge of statistical methodologies and data analysis techniques (e.g., clustering).
• Passionate about data analytics with a desire and ability to quickly adapt to new tools and techniques.
• Ability to visualise data effectively and communicate findings and recommendations clearly.
• Commercial acumen and strong storytelling skills to engage key stakeholders and clients.