Job Description

Product Retention Adoption: Liaise with the Tech team to build data pipelines and implement business logic for tracking product feature adoption. Monitor customer engagement and retention while identifying opportunities to enhance user experience and increase product adoption. Sales Marketing Analytics: Analyze new customer acquisition trends and revenue data to support Growth leaders in refining and optimizing sales and marketing strategies. Provide insights on campaign performance and customer behavior to improve overall business outcomes. Onboarding Payment Operations: Reduce onboarding drop-offs by streamlining the customer journey and enhancing activation across payment partners. Monitor payment performance, ensuring fast and reliable transactions with minimal decline rates through data-driven insights. AML Financial Crime Prevention: Lead initiatives to identify and prevent fraudulent transactions and anti-money laundering activities. Implement proactive alert mechanisms and leverage fraud detection techniques to strengthen compliance with regulatory frameworks. Beyond these team responsibilities, you will also play a key role in driving data excellence across the organization. Some of those key responsibilities will include: Performance Metrics: Create, test, and evaluate performance metrics that improves the efficiency and effectiveness of Operations team Own the Talk: Analyze key trends and customer usage patterns and share outcomes with COO and Operations leaders to drive smoother and faster customer experience Business Transformation: Own and implement new business metric definitions which act as a foundation for building the expansion strategy Cross-functional Collaboration: Liaise with different business functions to translate technical specifications into actionable insights that address business needs. BI Solutions: Design, build, and enhance existing processes and infrastructure within our data team to future proof and scale our solutions. Minimum Qualifications: Bachelors degree in Business, statistics, economics, or similar quantitative discipline 4-8 years of relevant experience in business analysis, data analysis, reporting or business strategy role Proficiency in MySQL for data extraction and analysis is mandatory Prior experience with data orchestration tools like Airflow and dbt is preferred Hands-on experience with Business Intelligence software, particularly Tableau, is a plus Good communication and organisation skills, with the ability to communicate complex quantitative analysis and algorithms in a clear, precise and actionable manner required Familiarity with data monitoring and understanding of customer onboarding cycle Experience in leveraging third-party data from Customer Relationship Management (CRM) platforms such as HubSpot, Marketing platforms like Meta, LinkedIn Google Ads; and other messaging platforms like Intercom Proficiency in MS Excel/Google Sheets, including PivotTables, VLOOKUP, and Index/Match Preferred Qualifications: Structured, critical and analytical thinking to deep dive for insights and problem solving Effective planning, organizational, and communication abilities Proven initiative in diving deep into datasets to uncover insights Capability to manage multiple projects from different stakeholders simultaneously A strong background in product analytics, with experience in tracking user behavior, feature adoption, and funnel conversion metrics Industry experience in a SaaS/fintech business will be an added advantage What we offer Uncapped flexible annual leave. Hybrid work arrangement. Training subsidy for your professional growth. Wellness benefit. Team bonding budget to foster collaboration and sense of belonging. Flexibility to work from anywhere (for up to 90 days per annum). Culture is Key: We always strive to cultivate a special culture that brings special talents together - You can learn more about our culture on our careers site and LinkedIn Life page .