Product Analyst - Star Trek Fleet Command

Навыки

• Коммуникация
• Анализ данных
• Отладка и поиск ошибок
• Лидерство
• Machine Learning
• Решение задач
• Python

О компании и продукте

• Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
• Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
• Scopely is looking for a Product Analyst to join our Star Trek Fleet Command team within our Live Games division in Barcelona, on a hybrid or remote basis.

Задачи

• We are looking for a Product Analyst to help evolve one of our leading game franchises at Scopely
• You will join a team of Product Analysts, partnering with our game team as well as central data platform and publishing teams, using player and product insights to focus our efforts on the most impactful performance and sustainable long-term health of the game
• Work across diverse teams through the full game development lifecycle, from defining goals and metrics through to monitoring and iterating actions based on live outcomes
• Help set the direction for new features, analysing rich and varied data sets representing the behaviour of millions of players to understand where our best opportunities exist
• Model and track data events, debugging and problem-solving using your mathematical and systems thinking skills to ensure the quality and utility of your findings
• Use SQL and Python to conduct deep-dive analyses, build robust analytical frameworks, and evaluate the impact of product launches, features, events, and live game changes on key player and business metrics
• Translate complex analytical results into clear, actionable insights for stakeholders across product, design, economy, engineering, and leadership teams
• Present findings to multiple disciplines, using empathy, storytelling, and influencing skills to demonstrate relevance, support decision-making, and raise the overall insight maturity of teams across the studio

Требования

• Successful track record in an Analyst, Data Scientist or Business Intelligence related role
• Strong proficiency in SQL, with experience working with large and complex datasets
• Strong proficiency in Python for data analysis, statistical modeling, automation, and advanced analytical workflows
• Experience applying statistical modeling, causal inference, experimentation, and/or machine learning methods to answer complex product or business questions
• Strong understanding of statistical concepts and the ability to choose the right analytical method based on the business question, data structure, and available evidence
• Excellent English communication skills, both written and verbal
• Compelling presentation skills, with the ability to distill complex analyses and technical results into clear recommendations for colleagues at all levels
• An independent mindset, with the ability to work autonomously, apply curiosity and rigor, and proactively identify opportunities for deeper analysis
• Passion for continuous learning in a highly collaborative environment
• Working knowledge of visualization tools and techniques is beneficial
• A love for, or strong desire to work with, video games

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.