Job Description

: Why should you choose us Are you interested in working for a Global Leader in E-commerce and a diversified business across 70 different offerings Are you excited about working on highly scalable platforms and applications that are accessed by millions of users every day If so, read on to find out more about the opportunity. About the Company Founded in 1997, Rakuten Group is headquartered in Tokyo, with over 14,000 employees worldwide. Rakuten started as the largest eCommerce company in Japan but has now become one of the largest internet conglomerates in Japan offering more than 70 services worldwide including Fintech businesses (Card, Securities, Bank, and insurance) as well as newly entered mobile carrier business as 4th carrier in Japan. Rakuten India Development Centre is the second largest technology hub outside of Japan that enables & builds platforms for global E commerce, Payments, Digital, AI, Data Science services across the globe. The India arm serves as a research and development center with an employee strength of around 1200 & growing Role & Responsibilities: Role will enable data platform to build Data marts, glean Business Insights, aid in Customer behavior analytics etc. which in turn would lead to user personalization, up-sell, cross-sell opportunities etc. Responsible for implementing platform, tools, and techniques to capture, manage and analyze data across all domains, Fintech domain to start with Lead analysis of relevant data across all business domains towards generating meaningful and actionable insights to analyze and drive cost optimization, conversion improvement, channel effectiveness, pricing management, sales management, business profitability, customer cohort management, etc. Responsible for reporting all key business metrics to stakeholders and ensuring adherence to business plans. Role involves engaging with Business, Engineering, BI, Product, Program and Operations functions across organizations and geographies Work with BI teams to deliver Dashboarding Solutions Role involves in developing and nurturing strong relationships with colleagues involving both intra and inter geographies Candidate profile: 13+ years in the Industry with 4-5 years of experience in managing Engineering Managers (and Product Managers preferably) at various levels including Principal Analysts, Architects, Staff Engineers etc. Exposure to Data and Analytics in Fintech/ Banking and Financial services vertical with good understanding of Banking products especially Credit cards, Payments, Insurance and Securities Successfully demonstrated experience in the execution of data analytics initiatives including productization, leading to the development of useful insights and the improvement of a business\'s performance and driving top-line growth Possesses solid understanding of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources Deeply understands statistical techniques and analytical concepts including hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing important recommendations for business units. Master\'s degree in one of Data Science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math Possess excellent articulation and cross functional skills. Experience working with cross geographies and across cultures Proven experience building and leading quantitative analyses as well experience building AI/ML solutions for a business.

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