Senior Marketing Data Analyst
Senior Marketing Data Analyst at Socialpoint, a Barcelona-based mobile game studio (part of Zynga/Take-Two), building statistical frameworks, data pipelines, and analytics tools to evaluate and improve marketing performance for games like Dragon City and Monster Legends. Core stack includes SQL, Python, Redshift, Databricks, PySpark, and Airflow, with a hybrid 2-days-per-week office setup in Barce
- Compensation
- Not disclosed
- Location
- Barcelona, Spain
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data analytics
- Posted
Skills
Must have
- Experience with predictive modeling, statistics, experimental design, optimization, and data visualization
- Understanding of marketing metrics and KPIs, with experience in campaign optimization, LTV modeling, and incrementality analysis
- Proficiency in SQL and Python with hands-on experience in Redshift, Databricks, PySpark, and Airflow
- Strong analytical and problem-solving skills, able to translate ambiguous questions into data-driven insights
- Strong communication skills — explain complex data in simple, actionable terms
- Proven work experience in data analytics or data science roles
- BS in Computer Science, Math, Statistics, Economics, or other quantitative field
Nice to have
- Familiarity with AI/ML concepts or experience automating recurring analytics workflows
- Masters, MBA, or PhD
Full description
Who we are: Let's have fun shaping your future!
We are Socialpoint, a world-renowned mobile game studio proudly part of the Zynga & Take-Two Interactive family. We’re the creators of hits like Dragon City, Two Dots, Top Troops, and Monster Legends, loved by hundreds of millions of players around the globe.We craft the best social games, bringing joy from Barcelona to the world. Now, we want to bring the world to Barcelona! At Socialpoint, work and play intertwine seamlessly, and we celebrate the diversity that makes us stronger. No matter who you are or where you’re from, you’re welcome here. Join us for a future where making games is as thrilling as playing them!
Position Overview
We are looking to welcome yet another brilliant Senior Marketing Data Analyst into our Marketing Analytics team.
As a Senior Data Analyst, you’ll be responsible for designing and driving high-impact analytics solutions, from developing advanced statistical frameworks to evaluate marketing performance, to building data pipelines that integrate third-party sources, to creating interactive tools that empower partner teams. These are just a few examples of the initiatives you’ll help lead and deliver end-to-end, playing a key role in shaping the technical direction of our analytics efforts. The demands on this team are constantly evolving with the needs of Socialpoint’s and Zynga’s dynamic marketing teams, so it is important that you be able to adapt and utilize your time efficiently.
What you'll do:
- Partner closely with marketing and cross-functional teams to identify growth opportunities, improve efficiency, and shape strategic initiatives.
- Lead analytical deep dives to surface insights and translate them into actionable recommendations for senior stakeholders.
- Visualize and communicate analytical findings clearly, enabling data-driven decision-making across the organization.
- Apply statistical methodologies to evaluate performance and account for uncertainties in major initiatives.
- Proactively explore and prototype opportunities using AI-driven automation to streamline investigations and improve decision-making.
What You Bring:
- 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
- Proficiency in SQL and Python with hands-on experience in Redshift, Databricks, PySpark, and Airflow
- Strong analytical and problem-solving skills with the ability to translate ambiguous questions into data-driven insights