Razorpay is recruiting for a fresher entry level data analyst

Position: Analytics Associate

Company: Razorpay

Location: Bengaluru, Karnataka, India

Job type: Full-time Associate

Job mode: On-site

Job requisition id: N/A

Years of experience: 0-3 years

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Company Description

Razorpay, India's pioneering full-stack financial solutions provider, is committed to revolutionizing the payment experience for over 300 million consumers. With a mission to facilitate digital payments effortlessly for businesses of all sizes, Razorpay offers a comprehensive suite of products encompassing payment acceptance, disbursement solutions, capital raising, and fund management. Since its inception in 2014 by IIT Roorkee alumni Harshil Mathur and Shashank Kumar, Razorpay has rapidly expanded into an organization of over 800 professionals, dedicated to streamlining money movement for businesses across various industries.

Profile Overview

The Analytics Associate role at Razorpay presents an exciting opportunity to join the central analytics team, operating in a dynamic environment alongside a diverse group of talented professionals. As an Analytics Associate, you will engage in working with extensive and intricate datasets, contributing to the product lifecycle, and generating actionable insights to drive business growth and innovation. This role offers exposure to high-impact projects and fosters continuous learning and development.

Qualifications

Mandatory Qualifications:

• Bachelor's/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration, or a related quantitative field.
• Proficiency in SQL, Excel, and Python.
• Experience in defining business and product metrics, data instrumentation, and creating automated dashboards using tools such as Tableau, Qlikview, or Looker.
• Ability to analyze data using techniques like Exploratory Data Analysis (EDA), Cohort analysis, and Funnel analysis to derive actionable insights.
• Strong problem-solving skills with the capability to formulate solutions independently and communicate effectively across the organization.
• Familiarity with both qualitative and quantitative aspects of products/strategic initiatives to identify and address existing gaps and opportunities.

Roles and Responsibilities

• Work with large, complex datasets to solve high-impact business problems using data mining, statistical analysis, machine learning, and related techniques.
• Develop a deep understanding of the business and product landscape to conduct analysis, derive insights, and validate hypotheses.
• Independently scope, deconstruct, and formulate solutions using innovative approaches.
• Engage in the product lifecycle, including ideation, success criteria definition, feature instrumentation, impact assessment, and continuous improvement.
• Expedite root cause analyses and insight generation through automation and self-serve platforms.
• Collaborate with cross-functional teams including Business, Product, and Data Engineering to enhance data accuracy and completeness.

Additional Information

Razorpay's commitment to fostering a high-trust, high-performance culture has garnered recognition from leading institutions. As part of the Razorpay family, you'll join a vibrant community of professionals from diverse backgrounds, united by a shared passion for innovation and excellence. Embrace the opportunity to contribute to Razorpay's journey of reshaping the financial ecosystem, empowering businesses to outgrow ordinary and achieve their full potential.

Please click here to apply.

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