Senior Manager Analytics

About Company :- Founded in 2019, this Jakarta-based fintech startup focuses on digitizing financial services for Indonesia’s micro, small, and medium enterprises (MSMEs). This role is based out of Indonesia What Will You Do : Develop and execute a comprehensive analytics strategy aligned with the company's goals and objectives Take ownership of business metrics end to end from extracting and exploring data, generating hypotheses, building a structured analysis, automating repetitive tasks, and rigorously evaluating methods and results Implement state-of-the-art analytics tools and methodologies to enable efficient data exploration and visualization Drive the adoption of a data-driven decision-making culture within the organization, ensuring stakeholders understand and can effectively utilize analytics Leading experiments' design, implementation, and analysis (A/B tests, synthetic controls, etc) to size opportunities to prioritize business decisions. Create and Drive a culture of learning through experimentation Solve ambiguous problems through a structured framework. Prioritise high-impact work, execute and communicate the insights to senior management Partner with Business, Product, Marketing, Engineering, and other teams to embed analytics into key decision-making processes. Build, mentor, and lead a diverse team of high-performing analysts Oversee the development of advanced analytical models (e.g., predictive modeling, machine learning, and AI) to solve complex business problems Provide thought leadership in leveraging AI/ML to develop innovative, data-driven products and solutions Stay updated on industry trends and best practices to continuously enhance the analytics capabilities of the organization Requirements : Bachelor's or Master's degree in Engineering, Data Science, Computer Science, Statistics, Business Analytics, or a related field. MBA or equivalent is a plus 7+ years of experience in analytics, business intelligence, or data science, with a proven record of driving impact in consumer technology, fintech (payments or lending), or a similar fast-paced industry Strong proficiency in data analysis, predictive modeling, and statistical methodologies Hands-on experience with data visualization tools and programming languages (e.g., Python, SQL) Experience in integrating AI/ML models into real-world applications Proven experience in building and leading high-performing analytics teams Strong business acumen and ability to translate complex analytical findings into actionable business insights Excellent communication and interpersonal skills, able to collaborate effectively with both technical and non-technical stakeholders Show more Show less