Data Analyst

Why this role exists

The team exists to unlock value from data — making it accessible and meaningful to decision-makers across the organisation. The team transforms data into actionable insights that support strategic decision-making, optimise operations and drive business performance. By identifying trends, patterns and opportunities, the team enables informed, data-driven decisions and contributes directly to the organisation's strategic objective of being an insights-driven organisation. As a Data Analyst III, you'll operate at the intersection of data, strategy and leadership. This isn't an individual contributor role — you'll lead, mentor and influence, using data to shape how the business thinks and moves

What you'll do

• Make data accessible and meaningful to stakeholders across the organisation
• Transform complex datasets into clear insights that senior decision-makers act on
• Identify trends, patterns and opportunities that drive informed business decisions
• Align data analysis with business strategy and goals
• Provide data-driven recommendations to senior management and influence decision-making
• Lead and mentor less experienced analysts and data teams — sharing knowledge and building capability across the organisation
• Oversee adherence to industry regulations and compliance requirements in the analytics space

Minimum Experience

• At least 8 years of experience in data analysis, with a significant portion in the financial services or banking sector
• Proven track record leading large-scale data analysis projects and driving business impact through data insights
• Mastery of advanced data analysis tools — SQL, Python, R, Tableau and Power BI
• Experience with machine learning algorithms and their application in predictive analytics
• Aligning data analysis with business strategy and goals
• Providing data-driven recommendations to senior management and influencing decision-making
• Leading and mentoring less experienced analysts and data teams — knowledge sharing and training
• Overseeing adherence to industry regulations and compliance requirements in the analytics space
• Market analysis and understanding of economic factors affecting the business

Qualifications (Ideal or Preferred)

Knowledge

• Expert mastery in SQL, including query optimization, database design, and ETL processes.
• Expertise in designing and implementing complex dashboards and visualizations.
• Knowledge of machine learning algorithms and their application in predictive analytics.
• Advanced programming skills in Python or R, including experience with machine learning libraries (e.g., scikit-learn, TensorFlow).
• Proficiency in advanced statistical modelling techniques and their application in financial analysis.
• Expertise in advanced predictive analytics techniques and their application in financial services.
• Ability to derive strategic insights from data and align them with business goals.
• Advanced knowledge of risk management techniques and their application in financial analysis.

Skills

Conditions of Employment