Analytics Associate

Razorpay was founded by Shashank Kumar and Harshil Mathur 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 Razorpay X) and enabling capital availability for businesses (via Razorpay Capital).

**What can you expect?**
- Opportunity to work in a fast-paced environment aimed at creating a very high impact
- Exposure to different business functions, helping each function to become successful with your work
- Opportunity to work with a diverse team of smart and hardworking professionals from various backgrounds
- Amazing work culture with endless opportunities for personal and professional growth Independence to put your thoughts/ideas into the executable business projects
- Ability to directly implement solutions and see them in action; critical partner for all decision-making in the organization
- Interact with people from various backgrounds - a mix of Statisticians, Consultants, Business, Product Managers, Designers, and Developers
- Flat organization structure with open and direct culture
- Merit-based fast-growth environment

**What do you need to have?**
- Bachelor's/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field
- Hands-on experience in SQL, Excel, 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.
- 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

**What do we expect from you?**
- Creative thinking to solve real-world problems
- Fail fast, learn faster approach
- Comfortable in a high-energy, fast-paced environment
- Proficient verbal and written communication skills
- Strong Ownership with the ability to self-direct work in an unstructured environment
- Excellent partnership and collaboration skills with the ability to work cross-functionally
- Good organizational skills including prioritizing, scheduling, time management, and meeting deadlines

**What will you work on?**
- 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 hypotheses and validate with sound rigorous methodologies or formulate the problems for modeling with ML
- You would be closely involved with the product life cycle working on ideation, reviewing PRDs, 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 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