Associate Data Analyst at Lend Plus

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.