• Champion Iterative Value: Work closely with data engineers and stakeholders to prioritize, scope, and deliver impactful data and analytics deliverables using agile, outcome-oriented methods. • Lead Discovery: Regularly engage with a diverse group of stakeholders (internal and external) to surface, clarify, and prioritize their data needs. • Craft Requirements: Translate business questions and stakeholder needs into clear, actionable requirements and well-defined deliverables (analytics, metrics, dashboards, pipelines). • Drive Execution: Collaborate with data and engineering teams to develop, launch, and refine analytics deliverables in short, learn-and-adapt cycles. • Deliver Results: Manage competing priorities, set expectations, communicate status, and iterate quickly based on feedback and evolving needs. • Measure Impact: Devise, research, and define the metrics and formulae that help Heartbeat and its partners measure success - clinical, operational, financial, and beyond. • Hands-On Contribution: Roll up your sleeves with SQL to shape dashboards, debug data pipelines, and ensure analytic quality. • Monitor & Respond: Help monitor critical data pipelines, respond quickly to disruptions, and ensure data quality, reliability, and trust.

• Analyze performance data across various marketing channels, including Paid Media, CRM, Email Marketing, and Customer Engagement Programs. • Prepare recurring reporting packages and consolidate data into actionable summaries. • Support the development of client recommendations and optimization strategies. • Perform quality assurance checks across reports and datasets. • Collaborate with Strategy, Client Services, Media, and Analytics teams to deliver insights. • Use AI tools responsibly to improve efficiency and reporting processes.

• Gather client metrics across the SIS business to be used in evaluating our impact and business strategy. • Identify, clean, merge, and filter datasets from multiple sources to generate high-quality cross-functional datasets. • Develop strategic data visualizations. • Create, deliver, and manage a client survey system to calculate key metrics to improve the delivery of solutions. • Develop scalable data systems using advanced tools such as coding programs and AI. • Support software development and maintenance. • Support data management and analysis in CRM platforms. • Translate analytic insights into clear business actions to ensure SIS makes well-informed decisions based on empirical evidence.

Role Description We are looking for an experienced Senior Manager / Lead to join our analytics consulting team and lead the delivery of Pricing & Profitability Models for a leading credit card client. - Lead the end-to-end delivery of pricing and profitability analytics models for credit card portfolios. - Partner directly with senior business leaders in the Credit Risk, Pricing, and Profitability domains to understand business objectives and translate them into analytical solutions. - Drive client engagement, manage stakeholder expectations, and present insights and recommendations to executive leadership. - Lead and mentor offshore analytics teams, ensuring high-quality deliverables and timely project execution. - Oversee model development, validation, implementation, and continuous improvement while maintaining strong governance and quality standards. - Collaborate with cross-functional teams, including business, product, data engineering, and technology, to deliver scalable analytical solutions. Qualifications - 10-12 years of experience in analytics, data science, or quantitative modeling within the Banking/Financial Services industry. - Strong experience in modeling, viz, Credit Card Pricing, Profitability Analytics, and Portfolio Analytics. - Robust background in model development, validation, implementation, and continuous improvements. - Proven experience leading analytics engagements and managing end-to-end project delivery. - Excellent client-facing and stakeholder management skills, with experience working directly with senior business leaders. - Experience leading and coordinating offshore teams. - Strong analytical and problem-solving skills with proficiency in tools such as Python and SQL. - Excellent communication, presentation, and leadership abilities. Benefits - Significant career development opportunities exist as the company grows. - The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Company Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.