Analyst, Risk Analytics
Job Location:
Reston, VA - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Sony Corporation of America located in New York NY is the U.S. headquarters of Sony Group Corporation based in Tokyo Japan. Sonys principal U.S. businesses include Sony Electronics Inc. Sony Interactive Entertainment LLC Sony Music Entertainment Sony Music Publishing and Sony Pictures Entertainment Inc. With some 900 million Sony devices in hands and homes worldwide today a vast array of Sony movies television shows and music and the PlayStation Network Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: is seeking a Senior Analyst Risk Analytics to join Sonys Corporate Information Security Division in London this role youll partner across the global information security IT and business landscape to design implement and evolve a data-driven Global Information Security Risk Analytics platform. Reporting to the Director of Risk Analytics you will help transform diverse and complex datasets into objective actionable insights that support senior leadership decision-making and monitor the confidentiality integrity and availability of Sony assets. Youll work closely with technical and non-technical teams to understand operational challenges uncover meaningful data patterns build analytical and engineering solutions and translate results into intuitive compelling stories. This is a hands-on role that blends data engineering data analysis and stakeholder engagement to mature Sonys enterprise-wide security risk intelligence capabilities.
- Build refine and maintain ETL pipelines that integrate data from multiple sources while ensuring quality consistency and trustworthiness.
- Develop tools scripts and automation to streamline data processing risk measurement and platform operations.
- Develop and maintain analytics metrics and dashboards that measure information security performance risk exposure remediation progress and control effectiveness.
- Analyze large volumes of security IT and business data to identify trends anomalies and emerging risks.
- Translate analytical findings into clear compelling material for executives and operational stakeholders.
- Contribute to the design and evaluation of metrics models and dashboards used to monitor information security performance
- Collaborate with crossfunctional teams to understand requirements frame analytical problems and deliver actionable insights.
- Provide excellent stakeholder support including communication requirements definition and delivery of reports and dashboards that meet evolving needs.
- Document solutions workflows and procedures to help ensure consistency accuracy and knowledge sharing.
- Advanced understanding of statistics data analysis and data visualization.
- Working knowledge of common information security and IT concepts such as vulnerability management patching endpoint security cloud security identity and access management asset inventory logging/monitoring or risk management.
- Ability to analyze large and complex security IT and business datasets to identify trends anomalies data quality issues and emerging risks.
- Experience with data modeling (star/snowflake schema dimensional modeling).
- Proficiency with relational database (SQL) and programming/scripting (Python or R).
- Typically 2 years of relevant experience in information security IT data analysis statistics or related field. Strong problemsolving skills attention to detail and ability to thrive in a dynamic environment.
- Interest in both deep technical data exploration and highquality stakeholder engagement.
- Ability to translate business questions into analytical approaches and present insights clearly to both technical and non-technical stakeholders.
- Understanding of data quality frameworks (validation profiling anomaly detection).
- Bachelors degree in Information Security Computer Science Statistics Data Analysis or a mathematics/information security field.
- Hands-on experience with cybersecurity or IT data sources such as vulnerability scanners endpoint detection tools CMDBs cloud platforms identity systems SIEM/logging platforms or ticketing systems.
- Experience with version control tools (e.g. Git/GitHub/Gitlab) o Hands-on experience with data visualization tools (e.g. Power BI Tableau Looker Domo).
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