Job Overview

Location
Bengaluru, Karnataka
Job Type
Full Time
Date Posted
4 months ago

Additional Details

Job ID
26505
Job Views
69

Job Description

Your way to impact

  • You believe in data-driven decisions and use data to answer business questions 
  • You are hyper-analytical, intellectually honest, and passionate about data and A/B experimentation 
  • You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance 
  • You are curious and inquisitive: you love digging into data and uncovering insights 
  • You are motivated by improving the experience customers have with the products you work on 

Your day to day

  • Help to launch, measure, and scale new solutions to improve customers’ experiences with the PayPal App and website 
  • Identify new opportunities through deep dive analyses leveraging our rich datasets of behavioral and transactional user data 
  • Translate ambiguous, unstructured business problems into actionable and data-driven analyses 
  • Size potential impact of new ideas to help prioritize product roadmaps 
  • Bring clarity to the performance of our key metrics and flows through well-designed dashboards and reports 
  • Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features 
  • Define and cultivate best practices in analytics instrumentation and experimentation 
  • Support multiple projects at the same time in a fast-paced, results-oriented environment 

What do you need to bring

  • Bachelors in a quantitative field (math, statistics, computer science, or similar STEM fields), advanced degrees preferred 
  • At least 3 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions 
  • Experience influencing product strategy through analyses and data-centric presentations 
  • Understanding of statistics (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments 
  • Fluent in SQL and experience with at least one scripting language (Python or R), comfortable with working with large, complex, and potentially messy datasets 
  • Strong interpersonal and project management skills, ability to lead cross-functionally 
  • Experience with visualization tools such as Tableau preferred 
  • Prior work experience in a product analytics space would be highly-valued 

Qualification

Bachelor’s degree

Experience Requirements

Fresher Experience

Location

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