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Location
In office (South Africa)
Employment
Full-Time

First seen by Alion on Nov 14, 2026.

Overview
Company
Impact
Profile match
Moving Heads Personnel is a South African recruitment agency that places finance, marketing and sales staff with client companies. Its vacancies include debtors and creditors clerks, brand communications managers and financial advisors selling life insurance and investments. The company is headquartered in South Africa.
Introduction

Reporting and Analytics Manager

Sandton

 

Ensure that Exco and Business Unit Heads have access to trusted, governed and actionable information to support operational, tactical and strategic decision-making. Work closely with peers in the Pricing, Data Engineering and Data Governance teams to implement and maintain

the organisations Enterprise Data and Analytics Platform while establishing standards for self-service analytics and generating business insights.

 

Postgraduate qualification in Actuarial Science, Mathematics, Statistics, Computer Science or similar

Other relevant qualifications, courses and training an advantage

Min 6 years analytics experience preferably in non-life insurance

Experience in leading analytics teams

 

Duties & Responsibilities

Reporting and Analytics Manager

Sandton

 

Ensure that Exco and Business Unit Heads have access to trusted, governed and actionable information to support operational, tactical and

strategic decision-making. Work closely with peers in the Pricing, Data Engineering and Data Governance teams to implement and maintain

the organisations Enterprise Data and Analytics Platform while establishing standards for self-service analytics and generating business insights.

 

Manage stakeholder expectations and foster collaborative relationships

Align reporting capabilities with business strategy

Drive enterprise adoption of data-driven decision-making

Analyse and interpret business intelligence and communicate conclusions to business stakeholders

Support and participate in portfolio management and performance assessment against KPIs

Identify and develop machine learning and AI use cases, build organisational support for proposed solutions and drive their successful implement within the business.

Plan, prioritise and manage your team’s work within SLA and capacity

Ensure reporting accuracy and consistency

Maintain enterprise KPI definitions and metric governance

Establish trusted data assets for reporting and analytics

Support audit and regulatory requirements

Maintain modelling minimum standards and drive your team and processes towards best practice

Recruit new staff and ensure their systematic training and development

Manage performance and take corrective action when required

Provide appropriate leadership to staff and reinforce company culture

 

Desired Experience & Qualification

 

Postgraduate qualification in Actuarial Science, Mathematics, Statistics, Computer Science or similar

Other relevant qualifications, courses and training an advantage

Min 6 years analytics experience preferably in non-life insurance

Experience in leading analytics teams

Experience providing insights and recommendations to senior management

Experience in machine learning bet practice

Experience at prioritizing, resourcing and planning

Ability to manage diverse work portfolio and team

Demonstrate ability to collaborate effectively across functions and influence outside of own function

 

Accomplished Python, SQL and PowerBI user, with proven ability to reconcile administration and claims transaction data to financials

Accomplished Microsoft Office user, effective Power Point presenter

Proficient with Python packages for data visualisation and machine learning e.g. Pandas, Seaborn, Plotly, Scikit-learn, XGBoost, PyTorch an advantage

Accomplished analytics specialist with exposure to data catalogues, business glossaries, data quality frameworks and stewardship models

Office and project management experience

Familiarity with non-life insurance pricing and portfolio management best practice an advantage

 

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