Lead Analytics Specialist

Lead Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Setting high standards in project management and mentoring analysts.

Roles and Responsibilities :

• You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed
• You would have / develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML
• You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view
• You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features
• You would expedite root cause analyses / insight generation against a given recurring use case through automation / self-serve platforms
• You will develop compelling stories with business insights, focusing on strategic goals of the organization
• You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness
• Set high standards in project management; own scope and timelines for the team
• Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques etc.)
• Mentoring analysts within the team to deliver effectively, incubating new ideas.

Mandatory Qualifications :

Skills Required

Instrumentation, Data Mining, Qlikview, Web Analytics, Automation, Sql