Lead Analytics Specialist

Razorpay was founded by and in 2014 Razorpay is building a new-age digital banking hub Neobank for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India We are a full-stack financial services organisation committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business Over the past year we ve disbursed loans worth millions of dollars in loans to thousands of businesses In parallel Razorpay is reimagining how businesses manage money by simplifying business banking via and enabling capital availability for businesses via The Role 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 Bachelor s Master s degree in Engineering Economics Finance Mathematics Statistics Business Administration or a related quantitative field 5-7 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 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 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 approach 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 leverage it to identify and act upon existing Gaps and Opportunities Hands on experience of A B testing Significance testing supervised and unsupervised ML Web Analytics and Statistical Learning Razorpay believes in and follows an equal employment opportunity policy that doesn t discriminate on gender religion sexual orientation colour nationality age etc We welcome interests and applications from all groups and communities across the globe Follow us on