Start your career as a Razorpay Analytics Career with 1- 3 Years of experience in analytics and data science.
Job Overview of Razorpay Analytics Career
Razorpay Analytics Career is transforming digital banking for Indian businesses. They offer seamless payment solutions and business banking tools, processing billions of dollars for hundreds of thousands of businesses. Razorpay also provides loans and capital to businesses, simplifying financial management through innovative technology.
Roles and responsibilities of Razorpay Analytics Career
Roles and responsibilities of Razorpay Analytics Career
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- Innovative problem-solving skills
- Agile learning mindset
- Adaptability to fast-paced settings
- Effective communication abilities
- Self-driven and accountable
- A collaborative and inclusive approach
- Strong organizational and time management skills
Qualification Of Razorpay Analytics Career
Qualification required for Razorpay Analytics Career
Bachelor’s/master’s degree in engineering, Economics, Finance, Mathematics, Statistics, Business Administration, or a related quantitative field.
Skill required For Razorpay Analytics Career
Skills required for Razorpay Analytics Career are Analytics, Cohort Analysis, Communication, Data Science, Dimensionality Reduction, Organization Skills, Unstructured Data, Web Analytics, Workload Prioritization
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|---|---|
| Telegram Channel | Join Here |
| WhatsApp Channel | Join Here |
| MNC Job Wala Website | Visit Here |
Preferred Qualifications For Razorpay Analytics Career
- 1-3 years of hands-on experience in analytics and data science.
- Proficiency in SQL and Python.
- Ability to define business and product metrics, work on data instrumentation with engineering teams, and create automated dashboards using tools like Tableau, Qlikview, Looker, etc.
- Skill in structuring and analyzing data using techniques like EDA, Cohort analysis, and Funnel analysis to provide actionable recommendations.
- Experience with large-scale structured, semi-structured, and unstructured data, including data preprocessing and cleansing.
- Understanding Consumer organizations is a plus.
- Ability to identify and act on product/strategic initiative gaps and opportunities.
- Knowledge of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics, and Statistical Learning.
How To Apply For Razorpay Analytics Career
Click the link given below and apply for Razorpay Analytics Career
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