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Data Analyst

  • Canada

Full-time

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Job details

Job type
Full-time
Experience
Minimum of 3 years of professional experience in data science or analytics roles
Posting language
English
Posted

Original job description

About The Company

Zynga is a global leader in interactive entertainment, renowned for bringing people together through the power of play. As a proud label of Take-Two Interactive, Zynga’s games have been downloaded over 6 billion times, connecting players in more than 175 countries. The company offers a diverse portfolio of games ranging from thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges. Popular titles include FarmVille, Words With Friends, Zynga Poker, Game of Thrones Slots Casino, Toon Blast, Empires & Puzzles, and many more. Founded in 2007 and headquartered in California, Zynga’s teams span North America, Europe, and Asia, collaborating to create unforgettable gaming experiences. Zynga is a place where innovation meets fun, providing ample opportunities for career growth and development.

About The Role

The Data Analyst role at Zynga is an exciting opportunity to join the data science and analytics team, which leverages vast and unique datasets to model and predict user behavior. The goal is to make gaming experiences more personalized and engaging, driving increased social interaction and player satisfaction. As a Data Analyst, you will identify and formalize problems related to user behavior, develop systems and analyses to generate actionable insights, and communicate your findings effectively to both technical and non-technical stakeholders. You will collaborate closely with game teams, product managers, designers, and engineers to implement models and data-driven solutions that impact millions of players worldwide. This role requires creativity, innovation, and a strong passion for gaming, with a focus on delivering measurable business impact through data.

Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field; Master’s, MBA, or PhD preferred
  • Minimum of 3 years of professional experience in data science or analytics roles
  • Proficiency in SQL and solid programming skills in Python
  • Experience with at least one data visualization tool such as Tableau or QlikView
  • Demonstrable expertise in statistics, experimental design, machine learning, and deep learning
  • Experience analyzing large datasets, preferably within Hadoop or Spark environments
  • Ability to deploy production-ready data systems at scale
  • Strong written and verbal communication skills
  • Ability to thrive in a fast-paced, dynamic environment with changing priorities
  • Proven ability to collaborate effectively with cross-functional teams including engineers, product managers, analysts, and marketing
  • Passion for gaming and understanding of player behavior

Responsibilities

  • Analyze large volumes of data to identify opportunities for enhancing player experience
  • Deliver data science and analytics projects aligned with product roadmaps and business objectives
  • Develop and maintain reliable data sources and dashboards to support evidence-based decision making
  • Work closely with game teams to design, test, validate, and implement machine learning models and product features
  • Communicate insights and recommendations clearly to both technical and non-technical audiences
  • Collaborate with product managers, game designers, and engineers to integrate data-driven solutions into live game environments
  • Innovate and apply creative approaches to solve complex problems using data

Benefits

  • Comprehensive world-class benefits package designed to support work-life balance
  • Opportunities for professional growth and career advancement within a global entertainment leader
  • Collaborative and inclusive work environment fostering innovation and creativity
  • Access to cutting-edge tools and technologies for data science and analytics
  • Employee discounts and perks related to Zynga’s game portfolio
  • Support for continuous learning and development

Equal Opportunity

Zynga is proud to be an equal opportunity employer committed to fostering diversity, equity, and inclusion. Employment decisions are based on merit, qualifications, and business needs without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic under applicable law. Zynga provides reasonable accommodations to qualified individuals with disabilities and is dedicated to ensuring a supportive and accessible recruitment process. We encourage applicants from all backgrounds to apply and join us in creating innovative gaming experiences for a global audience.
More about this job

Responsibilities

Analyze large datasets to identify opportunities to improve player experiences, and deliver analytics projects aligned with product and business goals. Develop data sources, dashboards, and machine learning solutions with game teams, then communicate actionable insights to technical and non-technical stakeholders.

Requirements

A bachelor's degree in a quantitative field and at least three years of experience in data science or analytics are required; a master's degree, MBA, or PhD is preferred. Candidates should have SQL and Python skills, expertise in statistics and machine learning, experience with large datasets and production systems, and strong communication and collaboration abilities.

Skills

  • SQL
  • Python
  • Data Visualization
  • Statistics
  • Experimental Design
  • Machine Learning
  • Deep Learning
  • Big Data Analysis
  • Hadoop
  • Spark
  • Production Data Systems
  • Data Analysis
  • Communication
  • Cross-Functional Collaboration
  • Player Behavior Analysis
  • Dashboard Development

Benefits

  • Work-Life Balance
  • Professional Growth and Career Advancement
  • Collaborative and Inclusive Work Environment
  • Access to Data Science and Analytics Tools and Technologies
  • Employee Discounts and Perks
  • Continuous Learning and Development

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Science & Research

Keywords

  • Data Science
  • Data Analytics
  • SQL
  • Python
  • Tableau
  • QlikView
  • Statistics
  • Experimental Design
  • Machine Learning
  • Deep Learning
  • Large Datasets
  • Hadoop
  • Spark
  • Production Data Systems
  • Data Sources
  • Dashboards
  • User Behavior
  • Player Behavior
  • Product Roadmaps
  • Business Objectives
  • Data-Driven Decision Making
  • Model Validation
  • Product Features
  • Live Game Environments
  • Gaming
  • Interactive Entertainment
  • Cross-Functional Collaboration

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