Lead Analytics Consultant
Posted on 4/3/2024
Zynga

1,001-5,000 employees

Global leader in creating interactive, social mobile games.
Company Overview
Zynga, a global leader in interactive entertainment, has a proven track record of pioneering social games that are simple, accessible, and engaging, with their games becoming the second most popular activity by time spent on the internet. Their diverse portfolio of popular game franchises, downloaded over 5 billion times globally, demonstrates their ability to consistently deliver high-quality, immersive gaming experiences across a range of genres. The company's culture encourages innovation and growth, fostering an environment where employees can contribute to the future of social gaming.
Consumer Software

Company Stage

N/A

Total Funding

$2B

Founded

2007

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

13%

1 year growth

21%

2 year growth

26%
Locations
Canada
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
SQL
Tableau
Data Analysis
CategoriesNew
IT Consulting
Management Consulting
Strategy Consulting
Consulting
Requirements
  • 4+ years of work experience in data analytics or data science roles
  • Strong experience in SQL and Python
  • Experience with data mining, predictive modeling, statistics, experimental design, application development, computational analytics, econometric modeling, data visualization
  • Strong business sense and ability to evangelize analytics/data science
  • Ability to develop clear narratives from data using visualization tools such as Tableau
  • Experience in collecting feedback from internal and external partners
Responsibilities
  • Provide data-driven insights to guide product development decisions
  • Technically engage with analysts, data scientists, and game teams
  • Assist in defining and refining product features based on user and consumer insights
  • Contribute to development of long term product and data strategy
  • Bolster customer trust and build technical knowledge through execution of ad hoc analyses
  • Stay up to date on industry trends, data analysis techniques, and product development methodologies