Senior Business Intelligence Engineer – Product & Customer Analytics

Responsible for analyzing product performance and customer behavior to generate insights that guide product development and business strategy. This role combines data analysis, statistical modeling, and business intelligence to evaluate how customers interact with digital entertainment platforms and product features across multiple devices and services. The position focuses on transforming large-scale data into actionable insights that improve product experiences and support strategic decision-making.The role requires translating business questions into structured analytical plans, extracting and analyzing large datasets, and presenting clear insights to both technical and business stakeholders. Success in this position requires strong analytical thinking, expertise in SQL and data platforms, and the ability to communicate complex findings in a way that informs product and business decisions.Experience Requirements2–4 years of experience working with large-scale and complex datasetsStrong experience using SQL to query and analyze large data warehousesExperience working with cloud-based data infrastructure and analytics toolsDemonstrated ability to translate business questions into analytical frameworks and insightsExperience performing statistical analysis and experimentation, including A/B and multivariate testingTeam & Analytics OverviewThe business intelligence team provides data-driven insights that support product strategy and customer experience improvements across digital entertainment services. The team operates at the intersection of technology, statistics, and data analysis to understand customer behavior and evaluate the performance of product features.Analytics initiatives typically begin with identifying key business questions and defining the metrics needed to measure performance. From there, the team extracts and analyzes relevant data from large-scale data warehouses, conducts experimentation and statistical analysis, and communicates findings to product and business leaders.The environment is fast-paced and analytical, with close collaboration between data engineers, product teams, and business stakeholders to continuously improve product performance and customer engagement.Core ResponsibilitiesEvaluate product feature performance using metrics related to customer response, product usage, conversion, and retentionConduct statistical analysis of A/B tests and multivariate experiments to measure product impact and user behaviorDesign, build, and maintain metrics frameworks and reporting systems that support product and customer insightsRespond to ad hoc analytical requests from business leaders to investigate customer behavior and unusual usage patternsPerform exploratory data analysis to identify trends, anomalies, and opportunities within large datasetsApply data mining, modeling, and segmentation techniques to uncover meaningful patterns in customer behaviorExtract and analyze data from large-scale data warehouse systems to support decision-makingPresent analytical findings and recommendations to stakeholders in a clear and actionable mannerParticipate in both strategic and tactical planning discussions by providing data-driven insightsWork EnvironmentCollaborative environment working closely with product, engineering, and business teamsMonday–Friday schedule with a standard 40-hour work weekFocus on analytical problem solving and data-driven decision makingRegular engagement with product owners and business leaders to support strategic initiativesMust-Have SkillsStrong analytical mindset and ability to translate business questions into structured analytical plansAdvanced SQL proficiency for querying and analyzing large datasetsExperience working with cloud-based data infrastructure and analytics platformsNice-to-Have SkillsStrong communication skills with the ability to work effectively with both technical teams and business leadersEducationBachelor’s degree in a quantitative or technical field (or equivalent experience)