Join Razorpay as an Analytics Specialist

Founded in 2014 by Shashank Kumar and Harshil Mathur, Razorpay is at the forefront of creating a new-age digital banking hub for businesses in India. Our mission is to provide seamless banking and payment experiences for businesses of all sizes. Starting as a B2B payments company, we are now processing billions of dollars in transactions for thousands of businesses across India.

As a full-stack financial services organization, we assist Indian businesses with innovative payment and banking solutions built on robust technology. Over the past year, we've disbursed millions of dollars in loans to thousands of businesses. Additionally, Razorpay is revolutionizing business money management through Razorpay X and facilitating capital access via Razorpay Capital.

About the Role

As an Analytics Specialist, you will be an integral member of the central analytics team at Razorpay. Working in a dynamic, fast-paced environment, you will have the opportunity to create significant impact and collaborate with a diverse team of professionals from various backgrounds.

Roles and Responsibilities

• Work with large, complex datasets to solve significant business problems using data mining, experimentation, statistical analysis, and machine learning techniques.
• Develop a deep understanding of the business and product, derive insights, and validate hypotheses with rigorous methodologies or formulate problems for modeling with machine learning.
• Apply problem-solving skills to independently structure, deconstruct, and develop first-principle solutions that integrate state-of-the-art perspectives.
• Participate actively in the product life cycle by contributing to ideation, reviewing Product Requirement Documents, defining success criteria, and identifying and recommending improvements for product features.
• Conduct root cause analyses and generate insights through automation and self-serve platforms for recurring use cases.
• Develop compelling stories with business insights that align with the strategic goals of the organization.
• Collaborate with Business, Product, and Data Engineering teams to continuously improve data accuracy through feedback and scoping on instrumentation quality.

Mandatory Qualifications

• Bachelor's or Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration, or a related quantitative field.
• 1-3 years of hands-on experience in analytics and data science.
• Proficiency in SQL and Python.
• Experience in defining business and product metrics, creating and automating self-serve dashboards using tools like Tableau, Qlikview, or Looker.
• Ability to structure and analyze data using techniques such as EDA, Cohort analysis, and Funnel analysis, providing actionable recommendations.
• Experience working with large-scale structured, semi-structured, and unstructured data, including data preprocessing and dimensionality reduction techniques.
• Experience in Consumer-tech organizations is a plus.
• Understanding of qualitative and quantitative aspects of product strategies, leveraging this to identify gaps and opportunities.
• Working knowledge of A/B testing, Significance testing, supervised and unsupervised machine learning, Web Analytics, and Statistical Learning.

Razorpay is an equal employment opportunity employer. We do not discriminate on the basis of gender, religion, sexual orientation, color, nationality, age, or any other legally protected status. We welcome applications from all groups and communities across the globe.

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Company: Razorpay

Job Title: Analytics Specialist