Property Risk Data Analyst — Insights & Analytics

Standard Bank Group; Johannesburg; On-site; ZAR 480,000 - 900,000; Full time

Job summary

Standard Bank Group in Johannesburg is seeking a data analyst to perform statistical analysis on diverse data sets and derive actionable insights for risk management and business decisions.

You will collaborate with cross-functional teams, using SAS and Power BI for visualization to communicate findings effectively and contribute to continuous improvement by turning analysis into measurable outcomes.

Qualifications

• 2-3 years' experience in data analysis, preferably in the financial industry or risk management.
• Proven track record of leading analytical projects to deliver actionable insights and drive business outcomes.
• Proficiency in statistical analysis software such as SAS, as well as experience with data visualisation tools like Power BI.
• Excellent communication skills, with the ability to effectively communicate complex analytical findings to non-technical stakeholders.

Responsibilities

• Perform statistical analysis on diverse data sets to derive actionable insights using structured and unstructured data.
• Apply a range of analytical techniques to address complex business challenges.
• Collaborate closely with cross-functional teams to identify opportunities for data-driven decision-making.
• Utilise SAS and Power BI to visualise data and communicate findings effectively.
• Drive continuous improvement by translating analysis into tangible business outcomes.

Skills

SAS

Power BI

Data visualization

Communication

Data analysis

Statistical analysis

Risk management

Analytical thinking

Education

Completed Matric

BSc Mathematics/Applied Mathematics

BSc Statistics/Actuarial Science

BCom Mathematical Sciences

BCom Economics

Tools

SAS

Power BI

Job description

Standard Bank Group in Johannesburg is seeking a data analyst to perform statistical analysis on diverse data sets and derive actionable insights for risk management and business decisions.

You will collaborate with cross-functional teams, using SAS and Power BI for visualization to communicate findings effectively and contribute to continuous improvement by turning analysis into measurable outcomes.