Data Analyst
Role details
Job location
Tech stack
Job description
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., * Hybrid working model: we ask you to come to our Barcelona office at least 2 days per week
- A generous 25 days of annual leave, plus public holidays
- Private medical insurance for you and your family to keep your health bar full
- Disability and life insurance
- Choose from the latest iOS or Android device when you join (phone or tablet)
- Free language lessons in English, Spanish and Catalan
- Spotify Premium to add the perfect soundtrack to your adventure
- Legendary social events and parties to let off some steam
- Take-Two Interactive employee stock purchase plan (eligibility criteria applies)
- Professional development budget for skills training
Onsite perks include:
- State of the art gym facilities
- Free breakfast, lunch, and specialty coffee
- Onsite physiotherapist and hairdresser (no wallet needed!)
Requirements
- 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
- Strong communication skills - you can explain complex data in simple, actionable terms
- Familiarity with AI/ML concepts or experience in automating recurring analytics workflows is a plus
- A team player, you establish effective relationships to work with others for the win
- 3+ 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, The list goes on and on… so get your game on and apply now! Click "Apply" to level up and submit your application in English.