Business Analyst -Product at Watu Credit Limited

This is a hands-on role that blends business analysis with technical execution — you’ll work across SQL, Google Sheets, Firebase, and App Script environments to deliver insights and shape product development.

Responsibilities:

• Embed within a cross-functional product area and support product experiments and growth strategies across one or more products,  from discovery, definition, and development to delivery. 
• Partner with the Product Growth Manager to support the execution of product experiments across the full funnel (acquisition, engagement, retention).
• Write performant SQL queries to extract insights from BigQuery and other cloud data warehouses.
• Build and maintain dynamic dashboards, trackers, and growth models using Google Sheets and App Scripts.
• Analyse Firebase event data to understand in-app behaviour and identify opportunities for optimisation.
• Document business and technical requirements for product experiments and assist in setting up A/B tests.
• Track experiment performance and synthesise findings into clear, actionable recommendations.
• Collaborate with product, engineering, marketing, and customer care teams to align insights with business priorities.
• Identify gaps or inefficiencies in data sources and work toward consistent, standardised data models.
• Assist in developing tools and scripts to automate routine reporting and experiment tracking processes.
• Monitor key product KPIs such as DAU/MAU ratios, feature adoption, and funnel conversion metrics across markets.
• Present findings and insights to stakeholders to influence strategic decision-making.

What we are looking for:

Education level: 

• Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Engineering, Business, or a related field from an accredited institution or equivalent experience with demonstrated proficiency

Experience: 

• This is an early career role; therefore, no prior experience is required. However, candidates with demonstrated experience in Data or Product teams will be considered favourably.