Role Overview
The Associate Data Analyst will support the development and execution of data-driven digital strategies that strengthen LendPlus’s online presence, improve customer acquisition, and optimize digital collections performance through analytics and strategic insights.
Key Responsibilities
Digital Strategy & Process Design
- Design and implement strategy flowcharts and decision trees to optimize digital collections processes.
- Develop data-backed frameworks that improve operational efficiency and outcomes.
Data Analysis & Reporting
- Monitor digital performance using analytics tools to identify trends, patterns, and opportunities.
- Conduct segmentation, trend analysis, performance tracking, and ad-hoc analyses to support strategic decision-making.
- Translate analytical findings into clear, actionable recommendations for stakeholders.
Process Optimization
- Develop innovative, data-driven strategies to improve efficiency and effectiveness across digital operations.
- Continuously test, measure, and refine strategies based on performance insights.
Systems Support & Implementation
- Collaborate closely with IT teams to enhance digital tools, automation workflows, and analytics systems.
- Support the implementation and optimization of data-driven digital solutions.
Messaging & Communication Strategy
- Optimize SMS, email, and WhatsApp communication strategies using data insights to improve engagement and recovery outcomes.
Collaboration & Training
- Work closely with collections, digital, and IT teams to ensure seamless strategy execution.
- Support knowledge-sharing and training to promote data-driven decision-making across teams.
Required Skills & Qualifications
- Bachelor’s degree in Computer Science, Data Science, Business, Data Analytics, or a related field (or relevant certifications).
- Minimum of 1+ year experience in data analytics, business analytics, automation, or strategy development (FinTech or financial services experience is an advantage).
- Strong understanding of data modeling, data wrangling, and reporting logic.
- Proficiency in SQL, Excel, and data visualization tools (Power BI, Google Data Studio, Tableau, or similar).
- Excellent analytical thinking, attention to detail, and communication skills.
- Ability to work collaboratively in a fast-paced, data-driven environment.
Method of application
Meet the Qualifications? Email your CV to [email protected] by 19 January 2026. Subject: Associate Data Analyst. Please indicate your expected salary scale in the cover letter.