Applications are invited for the Partnerships Analytics Internship with a special focus on supporting women returning to work after a break. Check the details below!
About Razorpay
Razorpay POS, Razorpay’s comprehensive suite of point-of-sale led payment solutions, enables businesses to accept various modes of payment across all customer touchpoints. Whether across the counter, on delivery, or via kiosks and vending machines, Razorpay POS devices offer a smooth payment experience with fast processing and high transaction success rates. Merchants can also offer consumers convenient payment options like EMI on the POS device. Access to real-time transaction data and analytics via the merchant portal enables businesses to drive data-led decisions.
Job Description
We, at Razorpay, are currently looking for an Intern – Partnership Analytics with excellent skills to join our team. This position is part of our “Resume with Razorpay” program with a special focus on supporting women returning to work after a break.
The Partnerships Analytics Specialist will work with the central analytics team at Razorpay to analyze data and make business recommendations based on the insights and trends observed. This role will give you an opportunity to work in a fast-paced environment and create business impact through data analytics. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in business growth planning.
Role 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 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 and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness
Mandatory Qualifications
- Bachelor’s/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field
- Minimum 2-3 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
- Working Knowledge of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning.
How to Apply?
Interested candidates can directly apply through this link.
Location
Bangalore, Karnataka.