
Data Analyst
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Austin, USA"), this listing's salary midpoint is about 43% lower. The offer sits below the benchmark range (€13,890–€13,890). Range-width comparison is limited because one of the salary bands is incomplete. This benchmark is based on 1 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Data Analyst | €3,560/per month | €5,000/per month | €12,660/per month |
| All roles in Austin, USA | €13,890/per month | €13,890/per month | €13,890/per month |
| From job ad (Mid-Level) | €6,425/per month | €7,968/per month | €9,510/per month |
Zynga’s mission is to connect the world through games. Its vision was that gaming would become a mass market activity, and "play" would be an important verb in our daily lives. As a part of this vision, Zynga Analytics partners with studios to release and grow multiple games, while also owning the analytics stack and central tools. 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! Here’s where you would come in: The Player Success Org (PSO), tasked with improving player engagement and managing a healthy relationship with our most valued players, is a critical function to the day-to-day operations of Zynga. You’d be expected to work with key stakeholders within the PSO to identify critical data dependencies, and devise solutions for them in the form of efficient data modeling, succinct reporting, timely investigations, and proactive insights. Based on the problem at hand, you’d be expected to collaborate with Game and Central Analytics as per requirement to ensure complete horizontal alignment as well as standardized practices. Be innovative, be creative, use every bit of that key commodity – data. Millions of people play Zynga games every day, so our data is tremendously rich, and we have a lot of it! What You'll Do: - Work with large amounts of data to find opportunities to improve the player experience and present insights on optimal VIP outreach strategies, by finding statistical causation between campaigns, sweepstakes, outreach programs across various regions, demographics, and channels - Develop clear narratives from data using visualization tools that capture VIP engagement & health, player support, and campaign stats. - Extend support to the Player Support team to identify improvement opportunities in customer satisfaction, while optimizing for internal costs. - Collaborate with game analysts and product managers to better quantify the impact of PSO’s campaigns on overall game performance and find opportunities to improve VIP engagement by leveraging in-game and external synergy - Provide adhoc support to account managers and senior stakeholders in measuring the effectiveness of off-beat campaigns, joint collaborations, and sweepstakes What You Bring: - Fluent in SQL; Intermediate experience with programming in Python - Adept in at least one visualization tool such as Tableau - Experience in CRM or sales analytics is helpful - Demonstrated experience with some or all of the following: data mining, optimization, experimental design, computational analytics, and reporting - Ability to work effectively in a fast-paced environment with changing priorities - Strong written and oral communication skills - 2+ years of work experience in data analytics or data science roles - BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred.
Job Details
Responsibilities
- Analyze large datasets to optimize VIP outreach strategies
- Develop data narratives using visualization tools for VIP engagement and campaign stats
- Support the Player Support team to improve customer satisfaction and optimize costs
- Collaborate with game analysts and product managers to quantify campaign impact on game performance
- Provide adhoc support to stakeholders in measuring effectiveness of special campaigns and collaborations
Requirements
- Fluent in SQL
- Intermediate experience with programming in Python
- Adept in at least one visualization tool such as Tableau
- 2+ years of work experience in data analytics or data science roles
- BS in Computer Science, Math, Statistics, Economics, or other quantitative field
Skills & Technologies
Education Level
BachelorBenefits & Perks

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