Job Description

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 ).Roles and Responsibilities:Roles and Responsibilities:

• Work with Head of Analytics and analytics leadership team to deliver on long term & short term analytics & data strategy
• Setting annual & quarterly Targets & OKRs for Analytics and DSE teams
• Identifying & solving challenges structurally to help achieve OKRs
• Setup processes to drive efficiencies within & across BUs
• Identify & execute new initiatives to enable Data a key pillar for Razorpay
• Proactive Identification of data-driven growth opportunities & their prioritization
• You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypotheses and validate with sound rigorous methodologies or formulate the problems for modeling with ML
• You will work on solving open-ended, high-impact business problems using data mining, experimentation, statistical analysis, related techniques, and machine learning as needed
• 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 PRDs, instrumenting for product features, and identifying and recommending improvements to further enhance the Product features
• You will develop compelling stories with business insights, focusing on the 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
• Own prioritization with stakeholders; negotiate and ensure high impact for work
• Create a roadmap/strategy for the respective business unit in collaboration with stakeholders
• Proven negotiation skills, influencing abilities
• Experience in leading mid-size project teams

Mandatory Qualifications:

• Bachelor\'s/Master\'s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field
• 7+ years of high-quality hands-on experience in analytics and data science
• Hands-on experience in SQL and Python
• Experience working with engineering & product teams on data instrumentation to drive product analytics
• Experience with defining business and product metrics to be evaluated, creating and automating 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 approaches to preprocessing/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 &

Razorpay