At a Glance
- Tasks: Ensure data accuracy in Salesforce and automate data validation processes.
- Company: Join Sophos, a leading cybersecurity firm protecting 600,000 organisations worldwide.
- Benefits: Remote-first work model, diverse culture, and opportunities for personal growth.
- Other info: Collaborative environment with a focus on innovation and community support.
- Why this job: Make a real impact in cybersecurity while leveraging AI and automation.
- Qualifications: 4+ years of Salesforce experience and proficiency in SQL and Python.
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.
What you will do
Data Quality & Stewardship
- Salesforce data quality — Manage and improve data quality across core objects (Accounts, Contacts, Opportunities), ensuring completeness and accuracy of key firmographic fields such as industry, company size, geography, and DUNS.
- Enrichment & standardization — Execute data enrichment activities using third‑party providers and manual research; validate and standardize inbound data prior to updates.
- Cleansing at scale — Perform deduplication, cleansing, and bulk data updates using tools such as DemandTools and Data Loader.
- Reporting & monitoring — Develop data quality reports and dashboards (Power BI / Salesforce) to monitor KPIs, track data health, and identify trends.
- Governance & compliance — Enforce data governance standards, maintain documentation and metadata, and ensure compliance with privacy and regulatory requirements.
AI & Automation for Data Validation
- Automated validation — Design, build, and maintain automated data‑validation checks that continuously monitor Salesforce data against business rules, catching errors and gaps in near real time rather than after the fact.
- Unblock downstream processes — Ensure data quality issues do not block or delay critical downstream revenue processes (Quote‑to‑Cash). Proactively detect, flag, and resolve records that would otherwise fail these processes, and build alerting so problems are caught before they stall the business.
- Apply AI / LLMs — Use AI and large language models to accelerate data validation, matching, classification, enrichment, and anomaly detection — for example, standardizing messy inbound data, identifying likely duplicates, or explaining why a record failed a rule.
- Build automation — Develop and maintain SQL / Python‑based data processing, validation pipelines, and automation; reduce manual data work through repeatable, self‑service, and scheduled processes.
- Partner with technical teams — Collaborate with technical and RevOps teams on integrations, workflows, and system design so that data quality is enforced upstream, at the point of entry, wherever possible.
- Measure & improve — Track the impact of automation on data quality and process throughput, and continuously expand coverage of validated fields, objects, and business rules.
What you will bring
- 4+ years of strong, hands‑on experience with Salesforce (SFDC) data management and data models.
- Proficiency in SQL and Python for data analysis and automation.
- Hands‑on experience building automated data validations or data‑quality checks, and comfort translating business rules into automated logic.
- Experience applying AI/automation to data work (e.g., AI/LLM-assisted matching, classification, enrichment, or anomaly detection), or a demonstrated aptitude and eagerness to do so.
- Hands‑on experience with DemandTools or similar data transformation/deduplication tools.
- Experience with Power BI or the Power Platform; intermediate to advanced Excel skills.
- Proven background in data cleansing, deduplication, and large‑scale data management.
- Strong analytical skills, attention to detail, and bias toward automating repetitive work.
Preferred Qualifications
- Understanding of Quote‑to‑Cash / order management processes (e.g., quoting and approvals, ordering, provisioning, and billing) and how data quality affects them.
- Experience with Dun & Bradstreet (D&B) or other enrichment providers.
- Experience with Salesforce APIs / SOQL and building integrations or workflow automation.
- Experience with Snowflake or other cloud data platforms.
- Familiarity with data governance frameworks and master data management concepts.
- Experience with AI/LLM tooling or frameworks applied to data quality or process automation.
- Salesforce certifications a plus.
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Ready to Join Us?
At Sophos, we believe in the power of diverse perspectives to fuel innovation. Research shows that candidates sometimes hesitate to apply if they don't check every box in a job description. We challenge that notion. Your unique experiences and skills might be exactly what we need to enhance our team. Don't let a checklist hold you back –we encourage you to apply.
What's Great About Sophos?
- Sophos operates a remote‑first working model, making remote work the primary option for most employees. However, some roles may necessitate a hybrid approach. While we are a remote first organization, applicants must have legal authorization to work in the jurisdiction where the position is posted, without requiring employer sponsorship.
- Our people – we innovate and create, all of which are accompanied by a great sense of fun and team spirit
- Employee‑led diversity and inclusion networks that build community and provide education and advocacy
- Annual charity and fundraising initiatives and volunteer days for employees to support local communities
- Global employee sustainability initiatives to reduce our environmental footprint
- Global fitness and trivia competitions to keep our bodies and minds sharp
- Global wellbeing days for employees to relax and recharge
- Monthly wellbeing webinars and training to support employee health and wellbeing
Our Commitment To You
We’re proud of the diverse and inclusive environment we have at Sophos, and we’re committed to ensuring equality of opportunity. We believe that diversity, combined with excellence, builds a better Sophos, so we encourage applicants who can contribute to the diversity of our team. All applicants will be treated in a fair and equal manner and in accordance with the law regardless of gender, sex, gender reassignment, marital status, race, religion or belief, color, age, military veteran status, disability, pregnancy, maternity or sexual orientation. We want to give you every opportunity to show us your best self, so if there are any adjustments we could make to the recruitment and selection process to support you, please let us know.
Data Protection
If you choose to explore an opportunity, and subsequently share your CV or other personal details with Sophos, these details will be held by Sophos for 12 months in accordance with our Privacy Policy and used by our recruitment team to contact you regarding this or other relevant opportunities at Sophos. If you would like Sophos to delete or update your details at any time, please follow the steps set out in the Privacy Policy describing your individual rights. For more information on Sophos’ data protection practices, please consult our Privacy Policy Cybersecurity as a Service Delivered | Sophos
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Data Quality Analyst (Salesforce Data Steward) in Oxford employer: Sophos Group
At Sophos, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters collaboration and innovation. As an EMEA North Payroll Specialist, you will benefit from extensive employee growth opportunities, competitive compensation, and the chance to work in a fast-paced environment that values diversity and excellence. Our commitment to your professional development and well-being makes Sophos a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Analyst (Salesforce Data Steward) in Oxford
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We think you need these skills to ace Data Quality Analyst (Salesforce Data Steward) in Oxford
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.