Marketing Data Analyst at Credit Direct Limited

Credit Direct Limited is a non-bank finance company with its Head-Quarters in Lagos, Nigeria. The company was established in 2006 and is focused on providing Payroll based consumer loans to eligible individuals. The Company currently operates in 25 states in Nigeria including the Federal Capital Territory– Abuja. With a staff strength of over 1000 employees and an active customer base in excess of 300,000, Credit Direct Limited is positioning itself to become the dominant market leader in the unsecured micro-lending (payroll lending) space in Nigeria and indeed Sub-Saharan Africa.

To provide data-driven insights through the integration of AI-driven analytics and customer behaviour modelling, supporting the marketing team in predicting trends and measuring the impact of all digital campaigns.

Job Details

Advanced Analytics 

• Integrate AI-driven tools to analyze complex and historical datasets to forecast campaign outcomes for new product launches and predict customer trends.

Performance Reporting 

• Develop and maintain real-time dashboards that track campaign performance, attribution, and ROI across all business lines (Yield, Checkout, etc.), and how they measure against business objectives.

Customer Behaviour Insight 

• Analyze the customer journey to identify friction points and opportunities for engagement or cross-selling opportunities.

Attribution Modelling & Quality 

• Ensure 100% accuracy in campaign attribution and audit the quality of results coming from the top-of-funnel.

Process Efficiency 

• Automate data collection processes to improve stakeholder management, strategic decision-making and shorter cycle times for marketing reports.

Requirements

• Bachelor’s degree in Data Science, Statistics, Economics, or related quantitative field.
• 3–5 years of experience in data analytics, preferably within a marketing or fintech environmen

COMPETENCIES REQUIREMENTS: 

• Data Visualization (Tableau/PowerBI), SQL, Python/R, AI-driven analytics tools, Attribution modeling, Predictive modeling.. 

Method of Application

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