Research Data Analyst

- Conduct in-depth analysis of player behavior metrics and feedback to identify trends, gaps, and opportunities. - Develop and maintain dashboards in tools such as Looker to communicate findings. - Partner with gameplay programmers to design and maintain event dictionaries, ensuring consistent telemetry data definitions. - Identify objectives and queries for data collection across development (SPINT) and post-launch (PROD) databases. - Translate complex data sets into clear, actionable insights that guide design, feature prioritization, and project strategy. - Collaborate with user research teams to integrate quantitative data with qualitative findings. - Participate in user research studies to understand player behaviors firsthand and identify new tracking opportunities. - Support creation of research reports, visualizations, and presentations that combine telemetry and player study results. - Provide expertise on data collection, telemetry architecture, and analytic methodologies. - Act as a liaison between Game Analytics, User Research, and Development teams. - Coordinate with Development Support and PSSQA to verify telemetry accuracy and relevance. - Communicate analytic updates to research schedules and dependencies with partner teams. - Evaluate new data sources, tools, and workflows to continuously improve analytic capabilities. - Develop a deep familiarity with game systems, mechanics, and design goals. - Foster collaboration with development teams to gain a comprehensive understanding of gameplay systems and tools. - Use contextual awareness to interpret why patterns occur in the data and to uncover underlying causes affecting player experience. - Identify and communicate early indicators or warning signs within data. - 3–5 years of experience in data analysis, analytics engineering, UX research analytics, or related applied research. - Prior experience working with telemetry data and game analytics pipelines is strongly preferred. - Strong statistics and data analysis skills (e.g., SQL, R, Python, or similar). - Proficiency in mathematical concepts such as probability, statistical inference, and fundamentals of geometry and trigonometry. - Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. - Proficient in reading, analyzing, and interpreting scientific and technical journals, financial reports, and legal documents. - Strong writing skills for creating speeches and articles that conform to prescribed styles and formats. - Ability to effectively present information to top management and key stakeholders. - Capable of solving practical problems and dealing with a variety of concrete variables in situations with limited standardization. - Familiarity with analytics tools like Omni, Looker, Tableau, Excel, and Power BI. - Excellent verbal and written communication skills. - Strong organizational and analytical skills.