Staff Business Intelligence Analyst

Why PlayStation?

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.

PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.

The Business Intelligence and Data Science Enablement team's mission is to provide advanced analytical insights and capabilities to inspire and optimize the future direction of the business. The team consists of a group of industry and methodical experts, all focused on bringing our player's experiences to life. Through championing a multidisciplinary view of our gamers, we bring the voice of the player to life, representing their choices, behaviors, appetites, aspirations and needs to the decision-makers at PlayStation.

 

Our team is building an internal self service data platform that encompasses collection, processing, visualization, analysis, anomaly detection, root case and predictive modeling for both qualitative and quantitative data from all our users. We specialize in game streaming telemetry and prepare highly sophisticated analysis with real time intelligence captured to highlight paths of improvement for the quality of experience.

 

Our active projects include analysis for the cloud gaming experience which includes streaming and launch experience, user behavior profiling, user base segmentation, concrete cluster detection, effective personalized recommendations, lifetime value analysis, capacity management and subscription churn analysis.

 

As a Staff BI Analyst/ Staff Analytic Engineer within our team, you'll harness the potential of data to empower us in providing unparalleled cloud streaming performance and delivering exceptional experiences to our players across the world. 

 

Responsibilities:

• Collaborate with cross-functional teams to develop actionable recommendations and contribute to the achievement of organizational objectives. 

• Responsible for leading major analytical projects, designing and implementing analytical methodologies, providing guidance on complex data issues, and contributing to the development of organizational strategies.

• Participate in high-level decision-making processes, provide guidance to senior management, and influence strategic directions based on their deep analytical expertise and insights.

• Develop new analytical methodologies, lead research initiatives, and tackle strategic issues that have a significant impact on the organization's long-term success.

• Leadership responsibilities and possibly overseeing teams of analysts, data scientists or researchers.

 

Basic Qualifications: 

 

General

• Expert-level analytical and problem-solving skills, with a demonstrated ability to tackle highly complex data challenges.

• Deep understanding of statistical methods and techniques, with the ability to develop and apply advanced analytical models.

• Exceptional communication and presentation abilities, with the capability to communicate complex insights to diverse audiences, including senior leadership.

• Strong leadership and mentoring skills, with the ability to lead large analytical projects and provide guidance to junior analysts.

• A life-long learner who is curious, has a passion for solving hard, ill-defined problems, has comfort taking initiative and who continuously seeks to improve their skills and understanding.

Data Modeling / Transformation

• Serve as the Analytics data lead working with the centralized data teams to optimize data pipelines and common data models in Snowflake/Databricks and S3/Kafka

• Be a champion of “data as a product” and strive to build robust and scalable data products

• Use your advanced data skills building data models for consumption by a team of data engineers, data scientists, data analysts, and our internal data consumers

• Build ad-hoc SQL queries, pipelines and notebooks as needed to support projects and complex business analysis

• Implement procedures and standards around data reliability, accuracy, and availability

• Implement DataOps best pra