J ob Summary: Owls in this role provide insights and analyses at all stages of our project lifecycles, from earliest prototyping to live engagement with our players. Balancing an analytical mindset and technical expertise while diving into data and turning it into meaningful insights. Adapting data insights to the unique landscape of games and VR, and partnering with Owls at all levels across our creative, accessibility, financial, and live services teams.
Responsibilities:
- Work closely with Owlchemy Leadership to understand available data, suggest improvements and develop approaches for collecting, analyzing and automating data to inform decision making across technical and business needs
- Develop and own data pipelines, models, tools, and processes to ensure accurate data collection and analysis
- Develop and own product dashboards that serve as the central point of truth for Leadership, Product Development, and Marketing
- Collaborate with stakeholders to provide recommendations for utilizing quantitative and qualitative metrics and key performance indicators to drive technical and business outcomes across business, marketing, financial and development needs
- Drive discovery of trends in play patterns that help inspire the development of new or improved features and content for our games
- Partner with marketing and sales to drive ongoing performance analyses of our projects in development, at launch, and beyond
- Support our “Project-Role Framework” methodology with well-designed and comprehensive analyses at all stages of the product lifecycle
- Use industry best practices to document analysis through different formats including basic data visualization such as graphs, tables, and PowerPoint slides to help communicate the findings
- Be involved in building automated dashboards and reports to facilitate understanding of business KPIs and player experience
- Stay current with Unity and VR industry trends, development practices, and help ensure distribution of that knowledge throughout the team
- Stay current with global data compliance regulations ensuring data integrity
Requirements
- Experience with data modeling in an applied context
- Experience with large complex data sets using structured and unstructured data
- Developing methodological approach(s) for data collection and analysis to support business decisions
- Ability to perform data mining, pattern recognition & correlation analysis and insight generation
- Familiarity with statistical and data programming languages such as SQL, PHP, Python, and C++
- Demonstrate critical thinking, provide confidentiality of data, and attention to detail
- Ability to provide clear, concise, accurate communication (both verbal and written) with audiences of varying technical abilities and business contexts
- Ability to resear