Data Analyst - Call Centre Debt Collection (JB5515)
Roodepoort, Johannesburg (On-site)
R12 - R15 000 CTC per month
Permanent
A dynamic call centre is looking for a Data Analyst to support its collections team through data-driven insights and performance tracking. This is a key role for someone with strong analytical skills, technical proficiency, and a practical understanding of collections or call centre environments.
You'll be responsible for analysing debtor behaviour, monitoring agent performance, segmenting campaigns, and advising on strategy based on trends and risk. Your work will directly support improvements in recovery rates and operational efficiency.
Minimum Requirements:
Diploma or Degree in Data Analytics or related field
2-3 years' experience in data analysis, preferably in a call centre or collections environment
Proficient in R, Python, and working with large datasets
Experience with: Excalibur dialler systems, SAP, Solar, Moonsoft, Sage (advantageous)
Strong skills in reporting, MIS, and data validation
Ability to clean, manage, and analyse data from multiple sources
Attention to detail, adaptability, and strong communication skills
Duties and Responsibilities:
Analyse debtor behaviour, payment trends, and portfolio performance
Monitor and report on key call centre metrics (e.g., contact rate, conversion, agent performance)
Create and automate daily, weekly, and monthly reports
Segment databases and support campaign setup and targeting
Improve data quality through cleansing and validation
Support managers with insights and predictive models to improve collections
Collaborate with teams to test new strategies and monitor impact
Provide dashboards and visualisations for management use
Please do not apply using Scanned CVs, no supporting documentation is required at this point, this will be requested later.
IMPORTANT: We specialize in specific niche fields. Regret that we are unable to provide assistance for any fields outside of this scope. Fields can be viewed on our website.
Kontak Recruitment Disclaimer:
Equal opportunity: All backgrounds are welcomed, with no bias. All are considered based on requirements.
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