Assistant Manager - Analytics

About Emeritus:

Emeritus is committed to teaching the skills of the future by making high-quality education accessible and affordable to individuals, companies, and governments around the world. It does this by collaborating with more than 50 top-tier universities across the United States, Europe, Latin America, Southeast Asia, India and China. Emeritus’ short courses, degree programs, professional certificates, and senior executive programs help individuals learn new skills and transform their lives, companies and organizations. Its unique model of state-of-the-art technology, curriculum innovation, and hands-on instruction from senior faculty, mentors and coaches has educated more than 250,000 individuals across 80+ countries.

Founded in 2015, Emeritus, part of Eruditus Group, has more than 2,000 employees globally and offices in Mumbai, New Delhi, Shanghai, Singapore, Palo Alto, Mexico City, New York, Boston, London, and Dubai. Following its $650 million Series E funding round in August 2021, the Company is valued at $3.2 billion, and is backed by Accel, SoftBank Vision Fund 2, the Chan Zuckerberg Initiative, Leeds Illuminate, Prosus Ventures, Sequoia Capital India, and Bertelsmann.

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.

Qualifications:

• Bachelor’s or Master’s degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering, Economics, or equivalent).
• 3+ years of progressive experience in data analysis roles, ideally in an edtech,, or high-growth technology environment.
• Mastery of SQL and hands-on expertise in leading data visualization tools (Tableau, Looker, or similar).
• Proficiency in Python or R for data analysis and modeling, with experience leveraging analytics to directly influence key business metrics.
• Deep experience with marketing analytics, cohort analysis, funnel analysis, and experimental design (including A/B and multivariate testing).
• Excellent communication skills, able to translate sophisticated analyses into persuasive business recommendations for technical and non-technical audiences.
• Familiarity with education technology platforms, LMS data, and digital learning analytics is highly a plus.
• Projects using GenAI tools is a big plus.
• Passionate about leveraging data to democratize education and elevate social impact at a global scale.