Senior Analytics Specialist

1 week ago


Bengaluru, Karnataka, India Razorpay Full time

The Role:

As a Senior Analytics Specialist at Razorpay, you'll be part of the central analytics team. This role offers you a chance to work in a dynamic environment focused on creating significant impact. You'll collaborate with a diverse group of talented professionals from various backgrounds. Your key responsibilities will involve handling large, complex datasets, gaining a deep understanding of the business and product, and actively participating in the product development process.

Roles and Responsibilities:

  • Work with complex data sets to tackle important business challenges through data analysis and machine learning
  • Understand the business and product thoroughly to derive valuable insights and formulate data-driven hypotheses
  • Demonstrate strong problem-solving skills to develop innovative solutions that align with business objectives
  • Engage in the product life cycle by contributing to ideation, defining success metrics, and assessing impact for feature enhancements
  • Drive automation for root cause analysis and generate actionable insights efficiently
  • Craft compelling narratives based on business insights to support organizational goals
  • Collaborate with cross-functional teams to enhance data accuracy and quality continuously
  • Ensure high standards in project management and take ownership of team scope and timelines

Mandatory Qualifications:

  • Hold a Bachelor's/Master's degree in Engineering, Economics, Finance, Mathematics, Statistics, or Business Administration
  • Possess at least 4 years of hands-on experience in analytics and data science
  • Proficient in SQL and Python
  • Define key business and product metrics, create automated dashboards, and ensure data accuracy
  • Ability to analyze data using various techniques and provide actionable recommendations
  • Experience working with diverse data types and preprocessing methods
  • Previous exposure to Consumer-tech companies would be beneficial
  • Understanding of A/B testing, ML algorithms, web analytics, and statistical learning


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