Ketto, Asia's largest crowdfunding platform, is looking for an innovative Sr. Product Analyst to take charge of our data systems, reporting frameworks, and generative AI initiatives. This role is pivotal in ensuring data integrity and reliability, driving key insights that fuel strategic decisions, and implementing automation through AI. This position encompasses the full data and analytics lifecycle—from requirements gathering to design planning—alongside implementing advanced analytics and generative AI solutions to support Ketto’s mission.
● Data Strategy & Automation:
○ Lead data collection, processing, and quality assurance processes to ensure accuracy, completeness, and relevance.
○ Explore opportunities to incorporate generative AI models to automate and optimize processes, enhancing efficiencies in analytics, reporting, and decision-making.
● Data Analysis & Insight Generation:
○ Conduct in-depth analyses of user behaviour, campaign performance, and platform metrics to uncover insights that support crowdfunding success.
○ Translate complex data into clear, actionable insights that drive strategic decisions, providing stakeholders with the necessary information to enhance business outcomes.
● Generative AI & Predictive Modeling:
○ Leverage generative AI and machine learning to build, train, and deploy predictive models, including user behavior prediction, donor engagement, and campaign success rates.
○ Develop and implement automated models and solutions using generative AI to enhance engagement, optimize workflows, and improve platform outcomes.
● Reporting & Quality Assurance:
○ Design and maintain a robust reporting framework to deliver timely insights, enhancing data reliability and ensuring stakeholders are well-informed.
○ Monitor and improve data accuracy, consistency, and integrity across all data processes, identifying and addressing areas for enhancement.
● Collaboration & Strategic Planning:
○ Work closely with Business, Product, and IT teams to align data initiatives with Ketto’s objectives and growth strategy.
○ Propose data-driven strategies that leverage AI and automation to tackle business challenges and scale impact across the platform.
○ Mentor junior data scientists and analysts, fostering a culture of data-driven decision-making.
○ Strong background in SQL, Python, and/or R, with hands-on experience in data science and machine learning.
○ Advanced knowledge of generative AI models and tools and experience implementing automation solutions with these technologies.
○ Proficiency with machine learning techniques such as k-Nearest Neighbors, Naive Bayes, SVM, and Decision Forests, with the ability to implement and optimize these models in production.