Assistant Manager - Analytics

Location : Mumbai / Bengaluru

About Emeritus & Daskalos

Emeritus is redefining global education by making high-quality learning accessible and affordable for individuals, companies, and governments. Through partnerships with over 80 world-class universities, Emeritus delivers industry-relevant programs across formats, including short courses, degrees, and executive programs - to more than 300,000 learners across 80+ countries.

Daskalos, a strategic initiative of Emeritus, pioneers transnational education in India by helping leading global universities establish joint campuses under the evolving Indian regulatory framework. With over 15 institutions in advanced discussions, Daskalos is shaping the next chapter in global higher education.

Role Overview :

As an Assistant Manager - Analytics at Emeritus, you will serve as a thought leader, architecting data solutions that directly drive strategic decisions across the business. This is a highly collaborative role, partnering with stakeholders in Sales, Marketing, and Delivery to transform raw data into business insights that enhance learner outcomes and boost company growth. You will be building scalable analytics frameworks in a high-impact, rapidly evolving environment.

Key Responsibilities :

• Develop and automate reporting dashboards and analytical models to provide real-time insights to business stakeholders.
• Leverage large, complex data sets from learning platforms, CRM systems, marketing channels, and external partners to generate actionable business insights.
• Design and deliver analytical solutions that identify key trends, opportunities, and strategic risks for learner engagement, course effectiveness, and business performance.
• Work closely with cross-functional teams to define, measure, and optimize KPIs related to course performance, user retention, and business growth.
• Lead advanced analytics projects, including cohort analysis, predictive modeling, A / B and multivariate testing, and funnel analytics.
• Ensure data accuracy and integrity by collaborating with data engineering and DS to continuously improve data pipelines and architecture.
• Present insights and strategic recommendations to leadership, driving evidence-based decision-making at the highest levels.

Qualification & Skills Required :