Razorpay is hiring for Analytics Associate

Basic Job Details

Company Name: Razorpay Software Private Limited

Position: Analytics Associate

Experience: Freshers/Experienced

Location: Bangalore

Qualification: Bachelor’s/Master’s degree 

Salary: Upto 8 LPA (Expected)

Role Overview

  1. Work in a fast-paced environment aiming for high impact
  2. Gain exposure to various business functions and contribute to their success
  3. Collaborate with a diverse team of professionals from different backgrounds
  4. Enjoy a positive work culture with opportunities for growth
  5. Have the freedom to share and implement ideas in business projects
  6. Play a key role in decision-making processes
  7. Engage with team members from various fields like Statistics, Consulting, Business, Product Management, Design, and Development
  8. Operate in a flat organizational structure with open communication
  9. Thrive in a merit-based environment promoting fast growth

Skills and Qualifications

  1. Proficient in SQL, Excel, and Python
  2. Capable of defining business and product metrics, working with engineering on data instrumentation, and creating automated dashboards using tools like Tableau, Qlikview, Looker, etc.
  3. Skilled in data analysis techniques such as EDA, Cohort analysis, Funnel analysis
  4. Ability to transform data into actionable recommendations and effectively communicate them
  5. Understand qualitative and quantitative aspects of products/strategic initiatives to identify and address gaps and opportunities

Expectations

  1. Creative problem-solving abilities
  2. Comfortable in a high-energy, fast-paced environment
  3. Strong verbal and written communication skills
  4. Ability to take ownership and direct work in an unstructured setting
  5. Excellent collaboration skills for cross-functional teamwork
  6. Good organizational skills, including prioritizing tasks and meeting deadlines

Responsibilities

  1. Analyze large, complex data sets to solve business problems using data mining, statistical analysis, and machine learning
  2. Develop a strong understanding of business and product, conducting analysis to derive insights and validate hypotheses
  3. Apply problem-solving skills to scope, deconstruct, and formulate solutions
  4. Be involved in the product life cycle, working on ideation, defining success criteria, and recommending improvements
  5. Conduct root cause analyses and generate insights through automation and self-serve platforms
  6. Create compelling business insights stories that align with the organization’s strategic goals
  7. Collaborate with Business, Product, and Data engineering teams to improve data accuracy through feedback and instrumentation

Company Culture and Policies

Committed to equal employment opportunities without discrimination based on gender, religion, color, nationality, age, etc.

Encourages applications from all groups and communities globally

This role offers a significant opportunity for professional growth in a dynamic and innovative company focused on revolutionizing digital banking and payment solutions for businesses.

Important Links

Apply Link: Click here

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