Manager – Commerce Analytics
EY
full-time
Posted on:
Location Type: Office
Location: Trivandrum • India
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About the role
- Develop and implement analytics strategies across customer, marketing, and commerce domains to support client growth objectives
- Lead end-to-end delivery of analytics engagements, including requirements gathering, solution design, modelling, testing, and deployment
- Drive customer analytics initiatives such as segmentation, behavioural analysis, lifetime value modelling, and personalization
- Design and optimize marketing analytics frameworks, including attribution models, performance dashboards, and ROI measurement
- Conduct commerce analytics to enhance conversion, pricing effectiveness, and product performance across digital channels
- Apply predictive modelling, statistical techniques, and machine learning to generate actionable insights
- Ensure analytical rigor through robust data validation, model governance, and documentation
- Synthesize complex analytics into clear business recommendations and present insights to senior client leadership
- Partner with cross-functional teams to integrate analytics into decision-making processes
- Serve as a trusted advisor to clients, driving alignment between analytical solutions and business objectives
- Manage stakeholder expectations and facilitate workshops, presentations, and executive discussions
- Lead and mentor teams of analysts, data scientists, and consultants to ensure high-quality delivery and capability development
- Contribute to the development of accelerators, frameworks, methodologies, and best practices within the practice
- Support business development activities, including proposal development, solution design, and thought leadership creation
Requirements
- MBA or master’s degree in Analytics, Data Science, Statistics, or a related field
- 10+ years of experience in customer, marketing, or commerce analytics, preferably within a consulting environment
- Proficiency in SQL and one or more analytics/programming languages (Python, R, SAS)
- Expertise in BI and data visualization tools (Tableau, Power BI, Qlik)
- Knowledge of marketing analytics platforms (Google Analytics, Adobe Analytics, CDPs) and ecommerce analytics tools
- Knowledge of cloud-based analytics ecosystems (AWS, Azure, GCP) and modern data architectures
Benefits
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Hard Skills & Tools
SQLPythonRSASpredictive modellingstatistical techniquesmachine learningdata validationanalytics frameworksattribution models
Soft Skills
leadershipcommunicationstakeholder managementmentoringcollaborationpresentation skillsbusiness acumenproblem-solvingstrategic thinkingclient relationship management
Certifications
MBAmaster’s degree in Analyticsmaster’s degree in Data Sciencemaster’s degree in Statistics