Data Management Analyst

Old Mutual Insure; Johannesburg; On-site; ZAR 420,000 - 660,000; Full time

Job summary

Old Mutual Insure is seeking a Data Management Analyst to unlock data value across the business. The role blends data analysis, quality management, automation, and process improvement to improve decision-making and efficiency.

You will collaborate with business and technology teams to identify opportunities, solve complex problems, and deliver meaningful insights that drive operational performance.

Qualifications

• 3–5 years of data analytics/management experience.
• Experience with data transformation, validation, and statistical analysis.
• Insurance industry experience is advantageous.

Responsibilities

• Analyse large datasets to identify trends, risks, and opportunities.
• Improve data quality, integrity, and accessibility across the business.
• Develop automated solutions using SQL, Python, and Databricks.
• Support data governance, compliance, and reporting requirements.
• Partner with stakeholders to optimise business processes and reduce manual effort.
• Translate complex data findings into actionable business recommendations.
• Develop dashboards, reports, and metrics to support decision-making.

Skills

Data analysis

Data quality management

Automation

Business process improvement

SQL

Python

Databricks

Education

Bachelor's Degree in Statistics, Data Science, Economics, Mathematical Statistics, or related quantitative field

Tools

Databricks

Job description

We're looking for a curious and analytical Data Management Analyst to help unlock the value of data across our business. This role combines data analysis, data quality management, automation, and business process improvement to drive better decision-making and operational efficiency.

You will work closely with business and technology teams, using data to identify opportunities, solve complex problems, improve processes, and deliver meaningful business insights.

Key Responsibilities

• Analyse and interpret large datasets to identify trends, risks, and opportunities.
• Improve data quality, integrity, and accessibility across the business.
• Develop automated solutions using SQL, Python, and Databricks.
• Support data governance, compliance, and reporting requirements.
• Partner with stakeholders to optimise business processes and reduce manual effort.
• Translate complex data findings into actionable business recommendations.
• Develop dashboards, reports, and metrics to support decision-making.

Qualifications

• Bachelor's Degree in Statistics, Data Science, Economics, Mathematical Statistics, or a related quantitative field.

Experience

• 3-5 years' experience in Data Analytics, Data Management, Data Quality, or a similar role.
• Experience working with data transformation, validation, and statistical analysis.
• Insurance industry experience will be advantageous.