Specialist: Data & Analytics - Midrand at Vodafone Global Enterprise

Role purpose:

• To support business and drive growth and profitability through advanced analytics and insights
• To monitor product performance, and support product development and product enhancements through advanced analytics and insights
• To highlight process inefficiencies through advanced analytics and insights
• To make data driven adjustments through monitoring and driving insight that enable models that improve risk and create efficiencies
• To ensure reporting processes are optimised, through scripting and automation
• To partner with Big Data and IT in the customer 360 data models and analytic tools

Your responsibilities will include:

Financial Reporting & Capital Management

• Monthly and annual liability valuations are required across the life and non-life portfolios, including typical IBNR and DCF techniques for the valuation of actuarial liabilities under IFRS 17. Monthly and annual regulatory reporting and board reporting. The candidate will also be responsible for the development and maintenance of all valuation models in the valuation software.

Product Development

• The candidate will assist with pricing and product development of all life and non-life products in a competitive, profitable and sustainable manner, working closely with Vodacom’s chosen partners. Regular competitor analysis is required to ensure products remain competitive.  

Data Analytics and Experience Investigations

• Detailed analytics at customer, channel and product level is required to drive performance, product development, to prioritize strategic roadmap (developments), and to serve as an input in valuation assumption setting.

The ideal candidate for this role will have:
Technical / Professional Qualifications:

• Bachelor degree in Computer Science, Technology, Engineering, Mathematical Sciences or related field
• Comfortable working with Agile as part of a high-performance diverse team across three geographies
• Expertise in SQL skills including experience querying large, complex data sets
• Skillset: R, Python, SQL

Core competencies, knowledge, and experience:

• Excellent analytical skills and problem solving ability
• Experience of working on data modelling projects
• 2-4 years-experience required
• Experience in working in visualisation tools like Qlik Sense or PowerBI
• Experience of working with and presenting to stakeholders with excellent oral and written communication skills
• Capable of working under pressure, with stakeholders across many disciplines

Closing date for Applications: 28 August 2023