Make an impact
of your own.

#Li-Onsite

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