Cape Town is South Africa’s oldest city, its second-most populous and an important contributor to national employment. It is the legislative capital of South Africa, the administrative and economic centre of the Western Cape, and Africa’s third-biggest economic hub.The City of Cape Town aims to ensure fast, effective service and communication with our pu...
Read more about this company
Relevant B-Degree in Computer Science, Data Analytics, Finance, Operational Research or related degree
A higher qualification will be advantageous
A minimum of 3 years’ data analysis experience in a financial environment.
At least 2 years working experience with “R” or Python programs as well as SQL
Experience that relates to Municipal Finances as well as Revenue
Debtors and/or Debt Collection processes with at least 3 years’ supervisory experience will be advantageous.
Proficiency in Microsoft Applications with Advanced Excel
Valid Code B, EB or C drivers licence is required
Key Performance Areas
Report on trends, customer behaviours, dunning actions and revenue clearance efficiencies in order to optimise revenue collection and processes.
Identify and define the immediate, short and long term objectives and priorities for the respective units responsible for various debt management processes or revenue clearance procedures.
Analyse data pertaining to outstanding debt of the City’s
Customers, debt collection activities, possible debt relief initiatives and revenue clearance information.
Compile dashboards and provide progress reports on operations.
Provide guidance and advice to the Data Scientist team with regards to the required data to be used for the Debt Management Dashboard.
Conduct regular audits on the activities, processes, transactions and documentation within the respective areas.
Controlling the Key Performance Areas (KPAs) and critical outputs of subordinates.
20 Initiatives to Boost Employee EngagementAre you struggling with improving employee engagement at work? This article covers everything from better communication to building a strong workplace culture.
30 Common Interview Mistakes to AvoidThis piece examines 30 of the most common mistakes applicants make at interviews, so you know how to better avoid them.
Gmail
Yahoomail