Business Intelligence & Strategy Manager

About Us

Sophos is a global leader and innovator of advanced security solutions for defeating cyberattacks. The company acquired Secureworks in February 2025, bringing together two pioneers that have redefined the cybersecurity industry with their innovative, native AI‑optimized services, technologies and products. Sophos is now the largest pure‑play Managed Detection and Response (MDR) provider, supporting more than 28,000 organizations. In addition to MDR and other services, Sophos’ complete portfolio includes industry‑leading endpoint, network, email, and cloud security that interoperate and adapt to defend through the Sophos Central platform.

Secureworks provides the innovative, market‑leading Taegis XDR/MDR, identity threat detection and response (ITDR), next‑gen SIEM capabilities, managed risk, and a comprehensive set of advisory services. Sophos sells all these solutions through reseller partners, Managed Service Providers (MSPs) and Managed Security Service Providers (MSSPs) worldwide, defending more than 600,000 organizations worldwide from phishing, ransomware, data theft, other everyday and state‑sponsored cybercrimes.

The solutions are powered by historical and real‑time threat intelligence from Sophos X‑Ops and the newly added Counter Threat Unit (CTU). Sophos is headquartered in Oxford, U.K. More information is available at

We are seeking a detail‑oriented, analytically strong Manager to join our Business Intelligence & Strategy team. This role is ideal for a candidate with strong data manipulation and modeling skills, and a passion for transforming complex data into actionable insights that drive strategic decision‑making and operational efficiency. You will help deliver accurate and insightful ARR forecasting, build dashboards, and streamline reporting processes to support business decisions across the organization.

This role focuses on hands‑on analytics, model building, and performance reporting, requiring a high degree of technical proficiency and business acumen. You will partner with cross‑functional teams including Finance, Sales, Marketing, Customer Success, and Product Management.

• Build, maintain, and improve ARR analysis models and dashboards to support monthly and quarterly executive reporting with data‑backed insights and visualizations
• Create and maintain dashboards to monitor KPIs to support and improve operational performance
• Develop and automate repeatable reporting processes using BI tools
• Ensure consistency of ARR definitions and metrics across systems and reporting
• Partner with Financial Business Systems and Enterprise Applications teams to streamline and validate data sources
• Collaborate with FP&A team to support ARR forecasting and strategic planning process
• Support ad‑hoc analysis and scenario modeling for strategic decision making

• Experience in Financial Planning & Analysis (FP&A), Business Intelligence, Revenue Operations, or a similar role in a SaaS or high‑growth environment
• Familiarity with SaaS metrics (ARR, Gross and Net Retention Rates, Renewal Rate, churn, CAC, LTV, etc.)
• Proficiency with BI and visualization tools (e.g., Tableau, Power BI, Looker)
• Proficiency writing and optimizing SQL queries for data extraction, manipulation, and validation
• Experience with data warehouse platforms (e.g., Snowflake, Redshift, or Fabric) and ETL and data prep tools (e.g., Matillion, Alteryx, or Power Query) preferred
• Advanced Excel skills for financial modeling and data analysis
• Proven ability to translate complex datasets into clear, actionable business insights
• High attention to detail and strong analytical thinking
• Bachelor’s degree in Finance, Business, Economics, Data Analytics, or a related field. Advanced degree or certification is a plus.

In the United States, the base salary for this role ranges from $110,000 to $183,000. In addition to base salary, we offer additional compensation including bonus eligibility and a comprehensive benefits package. A candidate’s specific pay within this range will depend on a variety of factors, including job‑related skills, training, location, experience, relevant education, certifications,…