Data Operations Specialist
Employer · Realeyes
Business analyst
Systems analyst
Statistical assistantFull-timeRemote
Adverteyes is a pioneer in emotion and attention AI. Using the latest computer vision and machine-learning technologies, we measure how people feel while watching video content online. As a Tech-Ops team member, you will manage projects from setup to delivery, work with data, internal tools, and cross-functional teams to meet customer needs.
Tasks
- Manage technical workstreams proactively and independently, including custom research projects on Adverteyes and third-party platforms
- Lead the scoping, processing, analysis, and delivery of complex projects on the Adverteyes platform
- Work with large datasets in Excel (including macros) to prep deliverables for clients and internal teams
- Identify and resolve data quality issues efficiently
- Act as the first line of support for clients, addressing project-related or technical issues
- Utilize Excel and/or SQL for workflow optimization on a regular basis
- Handle sensitive, detail-oriented GDPR compliance-related requests
- Take ownership of third-party scoping, templating, automation, and tool development
Conditions & benefits
Competitive compensationCompetitive compensation with unlimited holidays and 100% paid sick leaveRemote work environmentFully remote work environmentMentorshipDirect mentorship and growth path as you build toward greater client ownershipFlexibility and autonomyFlexibility and autonomy
Requirements
- Bachelor's degree in a Technical, Business, or Management, related field - or an equivalent professional/technical experience
- Highly detail-oriented with a strong sense of ownership and accountability for the quality and timely delivery of work.
- Strong problem-solving skills and analytical skills
- Proactive, organized, adaptable, and comfortable managing multiple projects or priorities in a client-focused environment.
- Strong Microsoft Office skills -- particularly Excel -- including formulas, pivot tables, data manipulation, and ideally macros.
- Basic knowledge of SQL.
- Comfortable working with sensitive data and handling GDPR-related requests with a high level of accuracy and discretion.
- Strong communication skills and the ability to collaborate effectively with Engineering, Data Science, Sales, clients, and external partners.