Data Analyst – Operations :
Since 1998, we've been on a mission to reshape how players interact with their favorite games, growing into a global team of over 12,000 professionals spread across 70+ studios in 26 countries.
We are always there to lend a hand to video games developers and publishers by offering a wide range of solutions: from art and audio to testing, localization and finally - Player Engagement - which is one of the fastest-growing Service Lines at Keywords Studios. Player Engagement provides technical support, community management, and trust & safety services for a wide range of AAA and Indie studios in the gaming industry.
Join us in our mission to build engaging player communities and offer outstanding experiences!
We are looking for a Data Analyst to analyze data across our client based to identify meaningful trends and insights and derive benchmark data based on specific requirements.
You will bring a strong background in data analysis – research, organizational and analysis – and several years’ experience with multiple data analysis tools. You will support management and customer facing teams with better data-driven understanding and decision-making for customer initiatives.
• Interpret and refine customer requirements/requests for data
• Develop and present actionable insights to internal teams, as well as external customers
• Build analytical dashboards from structured datasets to track customer health and actionable insights
• Collaborate with the professional services team on custom data requests for enterprise customers
• Identify trends and opportunities for growth through analysis of complex datasets
• Evaluate organizational methods and provide source-to-target mappings and information model specification documents for datasets
• Create best-practice reports based on data mining, analysis, and visualization
• Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning customer data
• Work directly with managers and internal teams to fulfill data projects that are critical to the business
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