Data Analyst: Insights & Dashboards

Old Mutual South Africa; Cape Town; On-site; ZAR 420,000 - 640,000; Full time

Job summary

Old Mutual South Africa is seeking a Data Analyst to collect, analyse, report and interpret data to support business strategies and tactics. You will map roles, identify needs, and build dashboards that reveal key trends and insights.

Responsibilities include requirements gathering, exploring data with BI tools, and contributing to data architecture and QA practices. The role emphasizes ongoing capability building and alignment with industry best practices.

Qualifications

• Experience in data analysis and business intelligence practices.
• Ability to collect business requirements using interviews, documents, workshops, and workflow analysis.
• Proficient with BI tools and data interpretation for decision making.

Responsibilities

• Identify and collect business requirements via interviews, documents, workshops, and workflow analyses.
• Explore and manipulate data to enable testing and trend analysis using BI tools.
• Support interpretation of advanced analytics data with specialized software.
• Recommend improvements to data and analytics systems as part of BI strategy.
• Prepare data and analytics reports; build dashboards to answer business questions.
• Consult on methods to streamline data recording for quality and accuracy.
• Collate and analyze data using preset tools; work independently.
• Develop capability through training, assessment and accreditation; stay updated on best practices.

Skills

Data Analysis

Microsoft SQL Server

R Programming

SAS

SQL

Data Modeling

Data Management

Data Visualization

Education

NQF Level 7 - Degree, Advance Diploma or Postgraduate Certificate or equivalent

Job description

Old Mutual South Africa is seeking a Data Analyst to collect, analyse, report and interpret data to support business strategies and tactics. You will map roles, identify needs, and build dashboards that reveal key trends and insights.

Responsibilities include requirements gathering, exploring data with BI tools, and contributing to data architecture and QA practices. The role emphasizes ongoing capability building and alignment with industry best practices.