Data Analyst at Old Mutual

Job Description

• Collect, analyse, report, and interpret data for use in the development of business strategies and tactics and in subsequent appraisal of results. 
• This role is individually accountable for performing data extraction, manipulation and descriptive/exploratory data analysis Additionally, developing and implementing adhoc and regular reports and dashboards.

Responsibilities

ROLE DESCRIPTION

• Extracts data from various internal and external sources.
• Performs data manipulation and descriptive/ exploratory data analysis
• Performs data quality checks and validates results
• Analyses data to support business requirements 
• Liaises with data delivery teams
• Should be able to work without supervision for repetitive functions but requires supervision for more complex tasks.
• Builds dashboards and reports to help answer business questions
• Interprets and analyses data and presents internally
• Accepts and lives the company values.
• Accountable for service delivery through own efforts.
• Collaborates effectively with others to achieve personal results.
• Individually accountable for managing own time, tasks and output quality.
• Makes increased contributions by broadening individual skills. 

Data Analysis

• Extracts data from various internal and external sources.
• Performs data manipulation and descriptive/ exploratory data analysis
• Performs data quality checks and validates results
• Analyses data to support business requirements 
• Liaises with data delivery teams

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 adjustustment 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.
• Interprets and analyses data and presents internally

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.
• Should be able to work without supervision for repetitive functions but requires supervision for more complex tasks.
• Accepts and lives the company values.
• Accountable for service delivery through own efforts.
• Collaborates effectively with others to achieve personal results.
• Individually accountable for managing own time, tasks and output quality.
• Makes increased contributions by broadening individual skills.

Skills

• Action Planning, Application Development, Business Requirements Analysis, Computer Literacy, Computer Programming, Data Analysis, Data Compilation, Data Controls, Data Interpretations, Data Management, Data Modeling, Executing Plans, Gaps Analysis, IT Network Security, Management Reporting, Market Analysis, Microsoft SQL Server, Policies & Procedures, R Programming, SAS Program, Structured Query Language (SQL), User Requirements Documentation

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

• 13 November 2025