Data Operations Executive

Thomson Reuters
RemotePosted 14 April 2026

Tech Stack

Job Description

Are you passionate about the chance to bring your experience to a world-class company that is market-leading for both content and technology? If yes, we are looking for you Join our team! Reuters is seeking a Data Operations Executive eager to learn and to start a career in a fast-paced global environment. About the Role: As a Data Operations Executive , your main responsibilities will be: Manage SPEX contracts end‑to‑end , including contract checks, confirmation of passes, delivery tracking, and adding SPEX details per event Own SPEX management in Cvent , ensuring accurate setup, updates, and data consistency across events Act as the primary point of contact for sponsors , handling portal questions, pass chasing, and sponsor logo uploads Execute data cleaning and validation activities to maintain accurate and reliable event and delegate data Track and manage dietary and accessibility requirements , ensuring all delegate needs are properly recorded Set up webinars , manage post‑webinar data collection, and complete wrap‑up reporting Run free delegate conversion campaigns , including email and phone confirmations, and maintain up‑to‑date tracking reports About You: To be successful as a Data Operations Executive , you will likely have: An IT‑related educational background (e.g., Information Technology, Computer Systems, Data, or similar) with the ability to quickly learn and navigate complex systems and tools, and approximately 6–12 months of experience in database management or data handling Exposure to website or event management platforms (training provided), with experience considered an advantage Customer service experience in a professional environment, with confidence engaging via email and phone Strong time management and multitasking skills , able to handle multiple priorities simultaneously Excellent written and verbal communication skills , with a high level of organization and attention to detail A proactive, “can‑do” attitude , strong problem‑solving skills, sound judgment, and the ability to work effectively across teams Please note, this is not a data analyst role. #LI-FP2 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making ... (truncated, view full listing at source)
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