Sophos
Data Quality Analyst (Salesforce Data Steward)
Philippines · India
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- Seniority
- Mid level
- Countries
- PH, IN
- Work mode
- Remote-friendly
- First seen by hirly
- 11 Sept 2026
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the posting
About Us
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 .
Role Summary
We are seeking a Data Quality Analyst (Salesforce Data Steward) to ensure the accuracy, completeness, and integrity of customer and account data within Salesforce. This role supports global Sales, Finance, and Operations teams by maintaining high-quality data standards, enabling reporting, and driving scalable, automated data processes.
Beyond traditional stewardship, this role is expected to leverage AI and automation to proactively validate data, surface and resolve exceptions before they cause problems, and ensure that data issues never block critical downstream revenue processes (Quote-to-Cash). The ideal candidate pairs deep Salesforce data expertise with a builder's mindset — someone who would rather automate a recurring validation than run it by hand every week.
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