Analytics Specialist - (Contract) Internship in Bangalore at Razorpay Software Private Limited

Razorpay is hiring for the role of Analytics Specialist - (Contract)!

Responsibilities of the Candidate:

• Work with large, complex data sets to solve open-ended, high-impact business problems using data mining, experimentation, statistical analysis, and related techniques, and machine learning as neededYou would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop a hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML
• 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
• 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
• Expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms
• Develop compelling stories with business insights, focusing on the strategic goals of the organization
• Work with Business, Product, and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness

Requirements: 

• Bachelor's/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field
• 1-3 years of high-quality hands-on experience in analytics and data science
• Hands-on experience in SQL and Python
• Define the business and product metrics to be evaluated, work with engg on data instrumentation, and create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker, etc.
• Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, and Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization.
• Hands-on experience in working with large-scale structured, semi-structured and unstructured data and various approaches to preprocess/cleanse data, dimensionality reduction
• Work experience in Consumer-tech organizations would be a plus
• Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leveraged it to identify and act upon existing Gaps and Opportunities
• Working Knowledge of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics, and Statistical Learning