Data-Driven Collections Campaign Architect

Network Finance; Randburg; On-site; ZAR 420,000 - 620,000; Full time

Job summary

Network Finance in Randburg is seeking a skilled Collections Analyst to design and optimize campaigns and drive data-driven decisions. You will manage the client journey through collections, analyse performance, and translate business needs into effective solutions.

Ideal candidates hold a relevant degree, have proven experience in collections, and excel in data analysis, stakeholder engagement, and presenting insights to drive improved outcomes.

Qualifications

• Degree in maths, stats, finance, or related field.
• Experience in a collections environment.
• Ability to design and implement collections campaigns.
• Strong analytical and problem-solving abilities.
• Excellent communication and presentation skills.
• Ability to translate business requirements into effective collections solutions.

Responsibilities

• Design, implement, and optimize collections campaigns and strategies.
• Manage and enhance the end-to-end client journey within the collections environment.
• Analyse portfolio and campaign performance to identify improvement opportunities.
• Develop data-driven recommendations to improve collections outcomes.
• Engage with internal and external stakeholders to ensure alignment and successful execution of strategies.
• Monitor key performance metrics and provide actionable business insights.

Skills

Advanced Excel

Data analysis

Analytical thinking

Problem solving

Stakeholder management

Communication

Presentation skills

Requirements translation

Education

Relevant degree in related fields

Tools

Excel

Job description

Network Finance in Randburg is seeking a skilled Collections Analyst to design and optimize campaigns and drive data-driven decisions. You will manage the client journey through collections, analyse performance, and translate business needs into effective solutions.

Ideal candidates hold a relevant degree, have proven experience in collections, and excel in data analysis, stakeholder engagement, and presenting insights to drive improved outcomes.