Data Analyst

Who We Are

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 www.zynga.com or follow Zynga on Twitter, Instagram, Facebook, or the Zynga blog.

The Marketing Analytics team has been charged with supporting audience growth functions across our portfolio. We utilize the vast amount of internal and third-party data available to provide reporting, tooling, and automation solutions that elevate the various functions in Zynga’s product organization. Our primary focus is on one core goal: expanding Zynga's ability to reach new audiences.

Responsibilities

• Use our modern tech stack, Redshift, Databricks and PySpark, Airflow, and Tableau to develop innovative tools.
• Work closely with marketing teams to craft, test, verify and implement end-to-end data pipelines that ingest data from multiple sources and output meaningful insights to optimize Zynga audience growth.
• Analyze and optimize marketing campaigns across multiple channels, using data to drive performance improvements and maximize ROI.
• Monitor and analyze app performance metrics to provide statistical insights that support data-driven decision-making for ASO strategies.
• Develop and maintain key performance indicators (KPIs) to measure the effectiveness of marketing efforts.

Required Skills And Experience

• B.S. in Computer Science, Math, Statistics, Economics, or other quantitative fields; Masters or PhD strongly preferred.
• 3+ years of work experience in data science or analytics roles.
• Demonstrated experience with some or all of the following: predictive modeling, statistics, experimental design, optimization, data visualization.
• Understanding of marketing metrics and KPIs, with experience in campaign optimization, Lifetime Value (LTV) modeling, and incrementality analysis.
• Domain knowledge in user acquisition, product marketing, and privacy frameworks like ATT; Experience in app store optimization (ASO) is a big plus.
• Strong experience in SQL and Python; Adept in at least one visualization tool such as Tableau.
• Strong written and oral communication skills.

What We Offer You
Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site.

We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law.

As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at accommodationrequest@zynga.com to request any accommodations or for support related to your application for an open position.