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Data Analyst 2

Zynga
NewPosted today

LOCATION

Bengaluru · Onsite

EXPERIENCE

5+ Years

SKILLS REQUIRED

SQLPythonData VisualizationStatistical AnalysisMachine LearningA/B TestingPredictive Analytics

Job description

Overview

Data Analyst 2 on Zynga's data science and analytics team, using large-scale player data to model and predict user behavior and make games more personalized and engaging.

What you'll do

  • Work with large amounts of data to find opportunities to improve the experience Zynga provides to its players.
  • Deliver analytics and data science projects aligned with the roadmap and product goals, balancing actionable insights to substantially improve core game metrics.
  • Drive and empower the game studio to make quantitatively informed, evidence-based decisions by maintaining source-of-truth data sources and dashboards.
  • Work closely with the game team to design, test, verify and implement machine learning models and product features in Zynga's games that impact millions of users.
  • Communicate findings to technical and non-technical peers, and collaborate with Product Managers, Game Designers and Engineers to deliver business impact.

What you'll need

  • BS in Computer Science, Math, Statistics, Economics, or other quantitative field.
  • 5+ years of work experience in data science or analytics roles.
  • Fluent in SQL.
  • Solid experience programming in Python.
  • Adept in at least one visualization tool such as Tableau or QlikView.
  • Demonstrable experience with some or all of the following: statistics, experimental design, machine learning, deep learning.
  • Experience analyzing large datasets and deploying production-ready systems at scale.
  • Strong written and oral communication skills.
  • Ability to work effectively in a fast-paced environment with changing priorities.
  • Ability to collaborate effectively with engineers, product managers, analysts, and marketing to deliver unambiguous business impact.
  • Strong passion for gaming.

Nice to have

  • Masters, MBA or PhD.
  • Experience analyzing large datasets in a Hadoop or Spark environment.

Read the full description and apply on the company’s own careers page.

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Data Analyst 2