Product Business Analyst at Worldreader

Job Summary

Reporting to the Director of Product, the Product Business Analyst plays a key role in Worldreader’s Product team. This position requires strong data analysis skills, a passion for product development, and the ability to transform data into actionable insights. You will collaborate with cross-functional teams to analyze user behavior, optimize product performance across multiple product lines, and drive data-informed decision-making.

This is a full-time hybrid position based in Nairobi, Kenya.

Duties/Responsibilities

• Analyze large data sets to identify patterns, trends, and insights to inform product decisions. 
• Develop and maintain dashboards and reports to track key performance metrics (KPIs).
• Collaborate with product managers, engineers, and designers to influence product development based on data insights and strategic plans.
• Conduct A/B testing and cohort analysis to evaluate the impact of product changes.
• Generate insights on customer behavior, two-pronged funnel acquisition, product usage, and feature performance. 
• Monitor and report on user engagement, product metrics, and business outcomes. 
• Perform competitive analysis and market research to identify product improvements and enhancement opportunities. 
• Analyze ROI of marketing campaigns and provide regular insights to regional and development teams.

Desired Skills & Qualifications

• Fluent in English.
• Advanced knowledge of customer behavior analytics tools like Mixpanel, Branch, QuickSight, and Google Analytics is preferred.
• Deep understanding of social media and direct marketing campaign data analysis. 
• Knowledge of A/B testing methodologies and product experimentation. 
• Strong organizational, analytical, and problem-solving skills with attention to detail.
• Clear, culturally sensitive communication skills.
• Ability to present data-driven insights to stakeholders.
• Proficient in Google Suite (Docs, Slides, Sheets, Gmail, etc.).
• Ability to work independently yet collaboratively in a fast-paced environment.

Experience & Education

• Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. 
• Three (3) years of experience in data analysis, product analytics, or a related field preferred.
• Experience with SQL, Excel, and data visualization tools (e.g. Tableau, PowerBI).
• Background in a mobile product-driven or SaaS company.
• Experience using statistical analysis tools (e.g. R, Python).