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Premium Employer

Razorpay

Compare

3.6

based on 488 Reviews

1 Razorpay Intern Job

Intern - Partnerships Analytics

Razorpay

3.6

based on 488 Reviews

2-3 years

Bangalore / Bengaluru

1 vacancy

Intern - Partnerships Analytics

Razorpay

posted 4mon ago

Job Role Insights

Flexible timing

Key skills for the job

SQL Automation Testing International Instrumentation Engineering Data Mining Home Loans

+ 4 more

Job Description

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.

Roles 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:

Bachelors/masters 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