Founded in 1999 by two brothers with a bold idea that good data can do great things, SALIX Data has grown into a trusted global partner serving more than 2,500 clients worldwide. Operating at the intersection of precision and purpose, we deliver Business Process Outsourcing, Forensic Collection, E-Discovery Processing, Cybersecurity, and Workflow Automation services, stepping in when the stakes are high and accuracy cannot be compromised. What truly distinguishes us is not just our technology, but our people. We do not hire to fill seats; we seek thinkers and builders who question, improve, and take ownership. By placing the right people in the right seats, we create the conditions where excellence follows naturally. Here, ideas are valued, growth is intentional, and roles are platforms for meaningful contribution rather than rigid boxes. The work is real, the expectations are high, and the impact is visible. SALIX stands for Service, Achievement, Leadership, Integrity, and eXpertise, principles that guide how we serve our clients and how we show up for one another every day.
We are seeking a highly competent and exceptionally organized, tech-savvy, and proactive Executive Assistant to join our team. The successful candidate will be responsible for providing comprehensive administrative support to C-level executives, ensuring optimal operational efficiency and effective time management.
SALIX DATAΒ is an equal opportunity employer and does not discriminate based on race, color, religion, sex, national origin, age, disability, or any other characteristic protected by law.
To join us on this incredible journey, kindly submit your resume and cover letter highlighting your interest in the position and showcasing your relevant qualifications.Β
Applications will be considered on a rolling basis. Please note that only shortlisted candidates will be contacted. Deadline is 28th February 2026.Β
We eagerly anticipate receiving your applications and embarking on this rewarding journey together, making a difference as we make the data meaningful.