Super Free Games, formerly Super Lucky, is a Stillfront studio. We are one of the largest word and trivia game developers in the world. We have a global team with members based in our hometown of Concord, as well as San Francisco, Oakland, Los Angeles, New York, Boise, Arlington, Singapore, and Berlin. We have operated since 2011. Our company is remote-first for those in the Bay Area and remote for those anywhere else in the world.
Internal Mission: Super Free Games aims to develop talent that will lead our company to a bright and sustainable future. We also strive to develop our talent to become noted leaders of the next generation of media, entertainment, and tech companies.

External Mission: Super Free Games aims to build, distribute, and operate best-in-class mobile games to be enjoyed by fans around the world.

At Super Free Games, we value collaboration, curiosity, work/life balance, and respect. We appreciate our people as they are and commit to embracing each other’s diversity of thought and lived experiences. We support one another and work as a team. Everyone is a teacher. Everyone is a student. At Super Free, you’ll have the opportunity to shape your career in whichever direction you are most interested. Overall, our goal is to help our people grow and to be better at what we do.

Our games are some of the most beloved in the Word, Trivia, and Social Casino genres, with player ratings of 4.9 or better. We entertain millions of people every day. We're profitable and we're growing quickly. In 2021, we’ll average about 1 new game per month. Most will fail. Some will succeed. That’s how we grow.

Our team’s average tenure is just under 5 years. Our departmental leaders have been promoted from within. We are proud that many people who’ve found success on our team didn’t fit in at companies with rigid and outdated corporate structures.

Remote within the US: only CA, ID, NY, TX, VA, WA.

THE JOB (RESPONSIBILITIES)

• KPI Monitoring: Monitor and report on key performance indicators (KPIs) to track the health of our games, identify areas for improvement, and provide actionable recommendations.
• Data Analysis: Analyze large datasets to extract meaningful insights and trends related to player behavior, game performance, and in-game economy.
• A/B Testing: Design and implement A/B tests to evaluate the impact of gameplay changes, features, monetization strategies, and provide recommendations based on results.
• Player Segmentation: Create player segments based on various characteristics and behaviors, enabling personalized experiences and targeted marketing efforts.
• Dashboards and Reporting: Develop and maintain reporting dashboards and automated reports to provide real-time visibility into game performance.
• Predictive Modeling: Utilize statistical and machine learning techniques to build predictive models for player retention, churn, and spending behavior.
• Collaboration: Collaborate closely with cross-functional teams, including game designers, product managers, and developers, to integrate data insights into the game development process.
• Data Integrity: Ensure data accuracy and integrity, troubleshoot data issues, and work with data engineering to improve data collection processes.

YOU (SKILLS AND EXPERIENCE)

• Minimum 5 years experience working as a data analyst, preferably in the mobile gaming industry.
• Familiarity with mobile game A/B testing methodologies, statistical analysis, and cohort analysis.
• Ability to work independently and as part of a collaborative team.
• Excellent communication skills with the ability to present complex data findings in a clear and actionable manner.
• A passion for mobile games and an understanding of casual game mechanics, monetization strategies, and player behavior.

NICE TO HAVES

• Familiarity with Amplitude or Mode Analytics (preferably both)
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience querying large, complex data sets and proficiency in data analysis tools such as Excel, SQL, Python, or R.
• Experience with machine learning and predictive modeling.
• Knowledge of data warehousing and ETL processes.