sonyinteractiveentertainmentglobal · United States, Remote · USA-CA-San Diego-Via Esprillo
<div class="content-intro"><p><strong>Why Sony Interactive Entertainment?</strong></p> <p>Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.</p></div><h3><strong><span style="color: #000000;">Senior Product Analyst</span></strong></h3> <h3><strong><span style="color: #000000;">San Mateo, CA; Los Angeles, CA; or San Diego, CA (Collab)</span></strong></h3> <p><span style="color: #000000;">Sony Interactive Entertainment LLC is seeking an Analyst, Product Analytics in California to join our team and contribute to the exciting future of the PlayStation platform. This role involves close collaboration with product feature teams and data partners to ensure effective data utilization and measurement methodologies for data-driven insights and decision-making. The Analyst will oversee end-to-end product analytics projects, including data exploration, KPI design, target setting, measurement planning, and impact assessment.</span></p> <p><span style="color: #000000;"> </span></p> <h3><span style="color: #000000;"><strong>Responsibilities</strong></span></h3> <ul> <li style="color: #000000 !important;"> <p><span style="color: #000000;">Work closely with product feature teams to understand their roadmap and translate initiative goals into data KPIs, targets, and measurement plans.</span></p> </li> <li style="color: #000000 !important;"> <p><span style="color: #000000;">Extract and integrate data from various sources to support analytical efforts, coordinating with data product, engineering, data science, and other analytics teams as needed.</span></p> </li> <li style="color: #000000 !important;"> <p><span style="color: #000000;">Lead A/B test experiments, validate test data, monitor progress, perform post-test analysis, and provide recommendations for feature release decisions, collaborating with the experimentation platform team as necessary.</span></p> </li> <li style="color: #000000 !important;"> <p><span style="color: #000000;">Convert business questions into data analytics tasks, conduct thorough analyses to segment and explore data, identify key drivers, and generate actionable insights to inform business decisions.</span></p> </li> <li style="color: #000000 !important;"> <p><span style="color: #000000;">Collaborate with data scientists on research and innovation, applying standardized processes and enhancing analytics methodologies as they become available. Contribute to the development and use of digital tools, reporting visualization, and analytical storytelling.</span></p> </li> <li style="color: #000000 !important;"> <p><span style="color: #000000;">Work with the reporting team to define and create automated and self-serve dashboards, providing relevant information efficiently to optimize business operations and track key initiatives.</span></p> </li> </ul> <p><span style="color: #000000;"> </span></p> <h3><span style="color: #000000;"><strong>Qualifications</strong></span></h3> <ul> <li style="color: #000000 !important;"> <p><span style="color: #000000;">Bachelor’s Degree in Statistics, Mathematics, Analytics, Data Science, Business, Economics, or a related field, with 3+ years of relevant professional experience in data analysis. A related Master’s Degree is a plus.</span></p> </li> <li style="color: #000000 !important;"> <p><span style="color: #000000;">Experience working with product, business, or other partner teams, including conducting experiments and supporting optimization efforts such as A/B testing, holdout groups, and multivariate analysis is a must. Familiarity with quasi-experimental causal inference methodologies is a plus.</span></p> </li> <li style="color: #000000 !important;"> <p><span style="color: #000000;">Relevant experience in data analysis with advanced SQL, Python/ R skills is required; Experience with user journey tools (e.g., Adobe Analytics) and standard BI tools (e.g., MicroStrategy, Tableau, Domo) is highly preferred. </span></p> </li> <li style="color: #000000 !important;"> <p><span style="color: #000000;">Strong understanding of statistical concepts (e.g., confidence intervals, hypothesis testing) and analytic modeling techniques (e.g., multivariate/linear regression, k-means clustering) is preferred.</span></p> </li> <li style="color: #000000 !important;"> <p><span style="color: #000000;">Excellent written and verbal communication skills, with experience presenting analytical results to non-technical partners.</span></p> </li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><span style="font-weight: 400;">At SIE, we consider several factors when setting each role’s base pay range,