Data Analyst

Old Mutual Life Assurance Company (SA) Ltd; Cape Town; On-site; ZAR 420,000 - 540,000; Full time

Job summary

Old Mutual Life Assurance Company (SA) Ltd in Cape Town seeks a Data Analyst to collect, analyze, report, and interpret data for business strategies. You will work in the Mass Foundation Cluster, a key customer-facing unit, delivering insights and dashboards to inform decisions.

The role requires 1–2 years' BI experience, strong analytical skills, and proficiency in Excel, Power BI, SQL, and Alteryx. A relevant degree and South African work eligibility are essential.

Qualifications

• Bachelor's degree in data analytics or related field (minimum).
• 1–2 years' experience in data analysis, reporting, or business intelligence.
• Proficiency in Excel, Alteryx, SQL and Power BI required.

Responsibilities

• Gather and analyze business data to inform strategies and tactics.
• Explore and manipulate data to identify trends and key themes.
• Support advanced analytics with specialized software tools.
• Suggest improvements to data standards and analytics platforms.
• Build dashboards and reports to answer business questions.

Skills

Advanced Analytics

Data Analysis

Data Reporting

Managing Execution

Communication Skills

Education

Bachelor's degree in Data Analytics, Statistics, Mathematics, Information Systems, Computer Science, Economics or related field

Tools

Power BI

SQL

Excel

Alteryx

Job description

Let's Write Africa's Story Together! Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.

Job Description You will form part of the Mass Foundation Cluster which is one of the largest customer-facing business segments in Old Mutual. Our vision is to be our customers' most trusted financial partner, passionate about helping them achieve their lifetime goals. Our mission is to enable positive futures for our customers, by bridging the gap between their resources and their financial service’s needs. Our primary goal is to facilitate access to financial solutions for our customers and to keep pace with their changing needs. Our target market is the low and emerging-middle income segment. The Data Analyst role will collect, analyse, report, and interpret data for use in the development of business strategies and tactics and in subsequent appraisal of results.

Responsibilities:

• Business Requirements Identification Collect business requirements using a variety of methods such as interviews, document analysis, workshops, and workflow analysis to express the requirements in terms of target user roles and goals, in order to garner the "why" of the requirements and the benefits of such requirements.
• Data Exploration & Manipulation Conduct research and select relevant information to enable testing, experimental adjustment and analysis of key themes and trends using primary data sources and business intelligence tools, to perform data manipulation and descriptive data analysis.
• Advanced Analytics Support interpretation of advanced analytics data, using specialized software tools and functionalities to support business requirements.
• Performance Improvement through Business Intelligence Make recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy by performing root cause analyses.
• Insights and Reporting Contribute to the preparation of various data and analytics reports. Builds dashboards and reports to help answer business questions.
• Data Architecture Consult and educate stakeholders on methods for streamlining and standardizing data recording to ensure quality and accuracy.
• Data Collection and Analysis Collate and analyze data using preset tools, methods, and formats. Involves working independently.
• Personal Capability Building Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching; gain or maintain external professional accreditation where relevant to improve performance and fulfill personal potential. Maintain an understanding of relevant industry best practices, business acumen, and broadening of individual skills such as presentation, communication and visualisation, through ongoing education, attending conferences, and reading specialist media.

Requirements:

• Matric.
• Bachelor's degree in Data Analytics, Statistics, Mathematics, Information Systems, Computer Science, Economics or related field.
• Microsoft Power BI and SQL Certifications (Advantageous).
• 1- 2 years' experience in data analysis, reporting, or business intelligence.
• Proficiency in Excel, Alteryx, SQL and Power BI required.
• Knowledge of data visualization, reporting, database concepts, and statistical analysis techniques preferred.
• Experience within financial services, collections, payments, customer operations, or contact centre environments will be advantageous.
• Strong analytical, problem-solving, and communication skills are essential.

Skills

Advanced Analytics, Alteryx, Data Analysis, Data Reporting, Managing Execution, Microsoft Excel, Proficiency in Power BI, Structured Query Language (SQL)

Competencies

Action Oriented Collaborates Cultivates Innovation Customer Focus Drives Engagement Drives Results Manages Ambiguity Manages Complexity Education NQF Level 7 - Degree, Advance Diploma or Postgraduate Certificate or equivalent

Closing Date

04 September 2026 , 23:59

The appointment will be made from the designated group in line with the Employment Equity Plan of Old Mutual South Africa and the specific business unit in question.

Old Mutual Story!

Old Mutual is a premium African financial services organisation that offers a broad spectrum of financial solutions to retail and corporate customers across key market segments in 14 countries. The lines of business include Life and Savings, Property and Casualty, Asset Management and Banking and Lending. We are rooted in our purpose of Championing Mutually Positive Futures Every Day and believe that a great customer experience is anchored in a great employee experience.