Description
Scopely is looking for a Marketing Data Analyst to join our Marketing Operations team in Barcelona on a hybrid basis! At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people around the world daily. We make sure our teams have everything they need to create amazing games.
The Portfolio Strategy Analytics team manages large data sets and applies analytics skills to answer business questions and digs into terabytes of player, revenue, marketing, and game data to understand user behavior, player experience, and game health across our portfolio.
What You Will DoAnalyze large, complex data sets representing the behavior of millions of online and mobile game players to address strategic and operational business questions supporting our Marketing Leadership org.Surface valuable insights to ensure that our efforts within ASO are aligned with the current Marketing Strategies and needs.Develop frameworks, models, tools, and processes to ensure data influences decisions at all levels.Contribute to the development of jaw-dropping dashboards to more effectively surface the group's findings.Collaborate with broader analytics teams and functions (BI, Data Viz, Strategic Analytics, Data Science) to develop analytics products.What We're Looking ForIntellectual curiosity, analytical rigor, hard-working, and good business intuition are a must!2 years of experience as a Data Analyst preferable at a top-tier institution or firm.Previous experience in marketing analytics, SEO/SEM strategies, or user acquisition strongly preferred (Familiarity with CPI, ROAS, ARPU, Retention, and LTV is a plus).Critical thinking and problem-solving capabilities.Advanced skills in using analytics tools and languages used to manipulate and export data in large data sets (SQL) and to analyze/automate (Python preferred / R).Exposure to Google Cloud Platform and BigQuery is a plus.Working knowledge of visualization tools: Looker (Preferred), Qlikview, Tableau, or PowerBI.Strong presentation skills; ability to communicate complex results throughout an organization.(Masters degree a plus) from a top institution in a quantitative or scientific field (Math/Stats, Economics, CS, Engineering, Physics, Psychology or similar).A love or strong desire to work with mobile/games.
#J-18808-Ljbffr
