Manager, Data Analytics

1 Week ago • 5-10 Years • Data Analyst

About the job

SummaryBy Outscal

Must have:
  • Machine Learning
  • Data Mining
  • Predictive Modeling
  • Team Leadership
Good to have:
  • SQL Proficiency
  • Python Expertise
  • Statistical Analysis
  • Project Management
Perks:
  • Competitive Salary
  • Employee Stock Plan
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AVAILABLE POSITIONS Manager, Data Analytics

Zynga is a global leader in interactive entertainment with a mission to connect the world through games and a wholly-owned subsidiary of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). With massive global reach in more than 175 countries and regions, the combined diverse portfolio of popular game franchises has been downloaded more than 6 billion times on mobile, including Star Wars™: Hunters, CSR Racing™, Dragon City, Empires & Puzzles™, FarmVille™, Golf Rival™, Hair Challenge™, Harry Potter: Puzzles & Spells™, High Heels!™, Merge Dragons!™, Merge Magic!™, Monster Legends, Toon Blast™, Top Eleven, Toy Blast™, Two Dots, Words With Friends™, and Zynga Poker™.Founded in 2007, Zynga is headquartered in California with locations in North America, Europe, and Asia. For more information, visit or follow Zynga on, , or the

Zynga is a leading developer of the world’s most popular social games, played by tens of millions of people around the world each day. To-date, more than 1 billion people have played our games across Web and mobile, including FarmVille, Zynga Poker, Words With Friends, Harry Potter: Puzzles & Spells, Merge Dragons!, Empires & Puzzles, Hit it Rich! Slots, Toy and Toon Blast, and CSR Racing.

Zynga’s Data Science and Analytics team uses our unique and expansive data to model and predict user behavior, making our games more personalized and more fun to play! We continually strive to better understand our players, and provide them with experiences that surprise and delight.

Here’s where you would come in: as an Analytics Manager for Zynga Poker, you will join a “Forever Franchise”, a Zynga designation for games that bring in at least $100 million in revenue per year. As the Analytics Team Manager, you will drive business impact by providing technical leadership and creating an environment where innovation, passion, and talent thrive. You’ll focus on supporting a collaborative and positive team culture, empowering each analyst to grow and deliver meaningful contributions that propel our business forward.

You will interact directly with Product leaders to make decisions that increase game engagement, retention, and revenue, seeking ultimately to improve the player experience. You will then work with your team to propose novel solutions, prioritize workflows, and coordinate Analytic solution delivery. The demands on this team are constantly evolving with the needs of Zynga’s dynamic player base, so it is important that you are able to adapt and utilize resources efficiently.

Responsibilities:

  • Collaborate with partner teams to define areas of opportunity and set priorities
  • Work with team leadership to plan the roadmap and drive initiatives
  • Coordinate with project management to ensure efficient prioritization
  • Develop talent and steer career growth within the team
  • Supervise the larger technical direction of projects
  • Contribute expertise in product ideation and development
  • Enforce standard methodologies in developing all analytics tools and models
  • Design and evaluate innovative ways to advance analytics at Zynga

Required Skills and Experience:

  • Demonstrated experience with some or all of the following: machine learning, data mining, predictive modeling, statistics, experimental design, computational analytics/optimization, data visualization
  • Excellent presentation and interpersonal skills; comfortable explaining technical topics to non-technical users.
  • Experience building and executing against a roadmap of strategic initiatives
  • 5+ years of work experience in data science, machine learning or analytics roles
  • 1+ years of work experience in people management
  • Proficient in SQL and Python
  • BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters or PhD strongly preferred

What we offer you:

  • Competitive salary, bonus plan and ESPP (Employee Stock Purchase Plan)
  • 401K Company Match Contribution (US)
  • RRSP/DPSP company match contribution (Canada)
  • Health coverage, dental, disability, critical illness, EAP, and life insurance (Canada)
  • Medical, dental, vision, EAP, life insurance, and disability benefits (US)
  • Virtual mental health and neurodiversity support programs
  • Global Fitness reimbursement program
  • Global Wellbeing Program
  • Financial wellness program with unlimited access to certified financial planners
  • Discretionary Time Off policy for many employees
  • Family planning support program
  • Generous paid parental, pregnancy-related disability, caregiver, and compassionate leaves
  • Zynga happy hours and frequent employee events
  • Flexible working hours on many teams
  • Culture of diversity and inclusion including employee resource groups
  • Work with cool people and impact millions of daily player

We are an equal opportunity employer and we are committed to building a diverse and talented workforce. We do not discriminate on the basis of race, sex, religion, colour, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, medical condition, disability, or any other class or characteristic protected by applicable law. We welcome job-seekers, players, employees, and partners from all backgrounds to join us!

We will consider all qualified job-seekers with criminal histories in a manner consistent with applicable law.

We are committed to providing reasonable accommodations to qualified individuals with physical or mental disabilities in order to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at AccommodationRequest@zynga.com to request an accommodation associated with your application for an open position.

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