Senior Data Analyst at Old Mutual

Job Description

• This role is individually accountable for turning data into actionable insights. The incumbent is relentlessly curious and uses advanced analytical skills, tools and platforms to extract and present data as information and  create analytical solutions that are interactive and easy to understand. 
• Collect, analyse, report, and interpret data for use in the development of business strategies and tactics and in subsequent appraisal of results.

Responsibilities

Data Analysis

• Meets with internal clients, understands their business requirements, analyses data support requirements and directs data analysis and reporting.
• Develops business reports to support ad-hoc and regular business requirements
• Responsible for creating end to end solutions which includes problem definition, data acquisition, data exploration and visualization
• Performs data quality checks and validates results
• Liaises with data delivery teams.
• Presents final results to stakeholders.
• Provides a technical coaching role to data analysts
• Coordinates data extractions and input to strategic projects where integrated data sets are required,
• Proactively seeks new knowledge in data analytics and visualisation
• Generates and tests hypotheses and provides actionable and measurable insights.

Business Requirements Identification

• Proactively 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. Coordinates data exploration and manipulation input to strategic projects where integrated data sets are required.

Advanced Analytics

• Run advanced analyses and perform model assessments, validation, and enhancement activities, using software tools and functionalities.

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 conducting root cause analyses.

Insights and Reporting

• Prepare and coordinate the completion of various data and analytics reports. Generates and test hypotheses and provide measurable and actionable insights and presents dashboards to stakeholders in presentations.
• Builds dashboards and reports to help answer business questions
• Interprets and analyses data and presents to stakeholders in presentations or reports

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 in-depth 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.
• Meets with internal clients, understands their business requirements, analyses data support requirements and directs data analysis and reporting.
• Develops business reports to support ad-hoc and regular business requirements
• Responsible for creating end to end solutions which includes problem definition, data acquisition, data exploration and visualization
• Performs data quality checks and validates results
• Liaises with data delivery teams.
• Presents final results to stakeholders.
• Provides a technical coaching role to data analysts
• Coordinates data extractions and input to strategic projects where integrated data sets are required,
• Proactively seeks new knowledge in data analytics and visualisation
• Generates and tests hypotheses and provides actionable and measurable insights
• Builds dashboards and reports to help answer business questions
• Interprets and analyses data and presents to stakeholders in presentations or reports
• 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.
• Balances own priorities with directing and coaching others
• Makes increased contributions by broadening individual skills.

Skills

• Action Planning, Application Development, Business Intelligence (BI), Business Requirements Analysis, Computer Literacy, Data Analysis, Data Analytics, Data Compilation, Data Controls, Data Management, Data Modeling, Datasets, Executing Plans, Gaps Analysis, IT Network Security, Management Reporting, Market Analysis, PL/SQL (Programming Language), Policies & Procedures, Python (Programming Language), R Statistics, SQL Databases, User Requirements Documentation

Competencies

• Action Oriented
• Business Insight
• Cultivates Innovation
• Drives Engagement
• Drives Results
• Manages Ambiguity
• Manages Complexity
• Optimizes Work Processes

Education

• NQF Level 7 – Degree, Advance Diploma or Postgraduate Certificate or equivalent

Closing Date

• 17 November 2025