Data Analyst

Sophos is a cybersecurity leader defending 600,000 organizations globally with an AI-driven platform and expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection, and response.

 

Sophos offers industry-leading managed detection and response (MDR) alongside a comprehensive portfolio of cybersecurity technologies — including endpoint, network, email, and cloud security, extended detection and response (XDR), identity threat detection and response (ITDR), and next-gen SIEM. Together with expert advisory services, these capabilities help organizations proactively reduce risk and respond faster, with the visibility and scalability needed to stay ahead of evolving threats.

 

Sophos goes to market with a global partner ecosystem, including Managed Service Providers (MSPs), Managed Security Service Providers (MSSPs), resellers and distributors, marketplace integrations, and cyber risk partners, giving organizations the flexibility to choose trusted relationships when securing their business. Sophos is headquartered in Oxford, U.K. More information is available at www.sophos.com.

 

The Data Analyst is an early-career opportunity to join our collaborative, cross-functional Advanced Analytics Team. Reporting to the Director, Advanced Analytics, you will support internal stakeholders by turning data into clear, actionable insights through well-defined metrics, reports, and dashboards. You will work with partners across the business to understand questions, source and validate data, and communicate findings in a way that supports decision-making. This role is ideal for someone who enjoys data storytelling, continuous improvement, and building reliable reporting that leaders can trust.

Essential  

• Foundational understanding of relational databases and the ability to write basic SQL queries
• Ability to build clear charts and dashboards using a BI tool (e.g., Power BI or Tableau)   
• Strong written and verbal communication skills, with attention to detail
• Ability to clarify analytical questions and document metric definitions and assumptions
• A proactive, learning mindset and comfort working across teams 
• Basic understanding of business intelligence concepts (e.g., databases, data warehouses, and reporting tools) 
• Awareness of data governance and data quality concepts (e.g., master data, reference data) and how they influence reporting 
• Awareness of data modelling concepts and the ability to represent data using simple, standard techniques (e.g., entity-relationship diagrams) 

Action-Oriented – Takes initiative and displays a can-do attitude

Customer Focus – Builds strong relationships with internal stakeholders 

Communicates Effectively – Adjusts style for technical and non-technical audiences 

Plans and Aligns – Prioritizes tasks to meet project timelines and quality standards 

Quality-Driven – Strives for accuracy in documentation, testing, and reporting 

Team-Oriented – Works collaboratively while managing individual responsibilities