Senior Data Analyst - Racing

Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take‑Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition.

Position Overview: Our Racing business is responsible for the CSR Racing franchise, including the #1 racing game on mobile, CSR2 and the groundbreaking next installment, CSR3. We are one of the most ambitious, successful, and creatively inclusive studio groups in the world. Based across two locations – London and Bangalore - the team loves welcoming diverse, humble, straightforward and ambitious talent, aspiring for award‑winning excellence. We embrace a hybrid work environment. Within this role you will work 3 days per week in our London office and the remaining days at home.

As part of the NaturalMotion Analytics team, this role is focussed on leveraging data to provide actionable insights to stakeholders in the Racing & Shooter game teams. Analytics collaborate closely with Product & Design in particular to identify opportunities to make great player experiences and drive KPI performance. Analysis topics are really varied depending on the release/feature goals and timing in the game development roadmap. We work in an agile (sprint‑based) framework, with a focus on fast‑paced insights and innovation, rather than academic rigour. There will be opportunities to be involved in projects using machine learning, simulation, & AI to model more complex systems such as the game economy, or predicting player actions/attributes.

What You’ll Do:

• Build dashboards to visualise in‑game player behaviour and metrics
• Analyse data to understand what drives engagement, retention, & monetisation
• Design telemetry to capture actions across different meta features and game modes
• Segment the playerbase to better understand different player motivations
• Interpret results from A/B tests and support the LiveOps team
• Monitor the live game economy and help optimise currency inflows & outflows

What You Bring:

• Experience analysing data across an app’s features, finding insights about what motivates players/customers to keep coming back, or friction that leads to churn
• Knowledge of probability and statistics, to draw conclusions from models & tests
• Data storytelling and visualisation skills to translate granular data into dashboards and presentations for different audiences
• Familiarity with different segmentation methods, to group a population by similar behaviours or attributes
• Exposure to optimising a complex system such as an economy or onboarding flow

Technical Stack:

• SQL
• Tableau
• Excel / Google Sheets

Bonus Points:

• Experience with Python, Jupyter, AmazonQ, Airflow and/or GitHub

What We Offer You:

• Competitive salary and discretionary annual bonus scheme
• 26 days holiday, plus bank holidays & 2 paid personal days
• 6 months fully paid maternity/adoption leave and 16 weeks fully paid paternity leave (eligibility criteria applies)
• Pension plan, with a double matching employer contribution
• Private medical & dental insurance and healthcare cash plan
• Life insurance, personal accident insurance and income protection
• Mental health and neurodiversity support programs
• Company Employee Stock Purchase Plan (eligibility criteria applies)
• Fitness reimbursement plan, worth £600 per annum
• Flexible working hours
• Weekly happy hours, seasonal parties and monthly social events
• Annual rail season ticket advance and cycle to work scheme

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.