At a Glance
- Tasks: Analyse data to drive marketing strategies and optimise campaigns for our exciting games.
- Company: Join Zynga, a global leader in interactive entertainment with a fun, collaborative culture.
- Benefits: Enjoy hybrid working, 25 days leave, private health insurance, and free language lessons.
- Other info: Work in a vibrant office with gaming facilities and opportunities for personal development.
- Why this job: Be part of a dynamic team shaping the future of mobile gaming through data insights.
- Qualifications: Experience in marketing analytics, strong SQL skills, and a passion for gaming.
The predicted salary is between 51750 - 63250 £ per year.
Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition.
Position Overview: We are looking to welcome a brilliant Senior Marketing Data Analyst into our Analytics team. Applying quantitative analysis, data science, statistics, and programming, you’ll tackle complex data challenges, framing and decomposing high-difficulty analytics projects to drive value across our global marketing initiatives.
What will you do in Socialpoint?
- Project Ownership & Decomposition: Participate in the planning, requirements gathering, and delivery of large, multi-phased growth and marketing analysis projects with minimal guidance. Break down complex, ambiguous business problems into structured, actionable analysis plans.
- Strategic UA Partnership: Partner closely with Marketing and User Acquisition (UA) squads to monitor campaign performance, decompose complex trend changes, and provide high-impact insights that optimize multi-million dollar budget allocations.
- Performance Measurement & Frameworks: Own the analysis of user acquisition funnels, ROAS, LTV, and payback periods. Collaborate with central data teams to refine marketing measurement frameworks (e.g., attribution models, incrementality testing).
- Data Presentation & Storytelling: Visualize and communicate complex analytical findings to senior stakeholders and cross-functional peers, translating raw marketing data into clear, compelling, and actionable recommendations.
- Team Efficiency & Tech Evangelism: Lead initiatives to improve team productivity and marketing analytics best practices. Assist in preparing internal learning programs to level up commercial domain knowledge and help the team adopt new tools, methodologies, and platforms.
- Data Quality Assurance: Maintain a high bar for marketing data integrity, working alongside data engineering to ensure tracking, attribution metrics, and performance reporting are precise and reliable.
Requirements
- Proven Track Record: Demonstrable experience in a Marketing Analyst, Performance Marketing Analytics, or Growth Analytics role driving measurable business growth, ideally within mobile gaming, free-to-play (F2P), or mobile B2C industries.
- Data Storytelling & Impactful Communication: Proven ability to translate complex, high-difficulty performance metrics and granular data trends into clear, compelling narratives.
- Advanced Marketing Metrics & Ecosystem: Deep understanding of the mobile performance marketing ecosystem, player behavior tracking, and core growth metrics (LTV, ROAS, CPI, Churn, IPM).
- Autonomy & Framing: Proven ability to navigate ambiguity, frame growth questions independently, and structurally decompose complex marketing and budget problems.
- Advanced SQL Proficiency: Highly proficient in SQL with prior experience managing and querying large, complex databases to extract actionable marketing insights independently.
- Statistical Rigor & Experimentation: Strong analytical foundations in applied statistics, with hands-on experience designing and analyzing randomized marketing experiments (A/B testing, creative testing, geo-incrementality testing).
- Data Visualization: Experience using business intelligence and data visualization tools (Looker, Tableau, etc.) to build robust tracking frameworks and performance dashboards.
- Educational Background: A degree in a quantitative or business-analytical field (e.g., Economics, Business Administration, Statistics, Mathematics, or similar).
- Industry Passion: Passion for games, or high interest in the mobile gaming industry.
Nice-to-haves
- Technical Scripting: Proficiency in Python or R for statistical analysis, data manipulation, or predictive modeling.
- Privacy-First Landscape: Familiarity with modern mobile privacy changes and their specific impact on UA attribution.
- Advanced Measurement: Experience evaluating or working with Marketing Mix Modeling (MMM) or media mix frameworks.
What's in it for you as a Socialpointer?
- Hybrid working from home/office system.
- Relocation support to help you move to Barcelona (if you’re not already here).
- An impressive 25 days annual leave, not including public holidays.
- 5 additional days annual leave on Christmas.
- A very generous ticket-restaurant to restore some life-points.
- Private medical insurance for you and your family.
- Choose from the latest IOS or Android device upon joining.
- Free language lessons (English & Spanish).
- Spotify Premium to add that special soundtrack that every adventure deserves.
- Legendary social events & parties.
- People development is key for us: an amazing budget just for you to spend skilling up your abilities & knowledge.
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.
Senior Data Analyst employer: Zynga
Zynga is an exceptional employer that fosters a dynamic and inclusive work culture, perfect for those passionate about mobile gaming and localization. With a strong emphasis on employee growth, you will have the opportunity to lead innovative projects while benefiting from a competitive package that prioritises work-life balance in vibrant locations like London and Spain.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Zynga!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Analyst at Zynga.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Zynga.
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We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Zynga, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Zynga. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Zynga
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Zynga!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
