Why Sony Interactive Entertainment?
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.
What you'd do
- Monitor and analyze key payment performance metrics—including authorization rates, chargebacks, declines, and processing costs across providers, regions, and payment methods.
- Query and analyze large datasets to identify trends, anomalies, and opportunities for optimization.
- Build and maintain dashboards and reports to communicate performance insights to team members.
- Support investigations into payment issues and contribute to performance improvement initiatives.
- Deliver timely and accurate data insights for ad-hoc analyses and business requests.
- Communicate findings in a clear, actionable manner to Payments team members and cross-functional partners (e.g., Product, Fraud, Finance).
- Use SQL, Excel, and Tableau for data analysis and reporting; knowledge of Python, R, or other analytical software is an advantage.
What they want
- Strong analytical abilities with the capacity to interpret complex datasets.
- Solid understanding of SQL (Snowflake experience preferred).
- Experience working with structured and unstructured data.
- Ability to translate data into clear, actionable insights and visualizations.
- Hands-on experience building dashboards and visualizations in Tableau.
- Proficiency in Excel for data analysis and confident in preparing presentations in PowerPoint to share results.
- Strong verbal and written communication skills, with the ability to present data findings to both technical and non-technical audiences.
- Proven ability to collaborate effectively across cross-functional teams.
- Committed to using data to improve decision-making across teams.
- Organized and diligent, with the ability to manage tasks independently and follow through on deadlines.