Data Operations Specialist

• Manage projects from setup to delivery using data, internal tools, and cross-functional collaboration
• Manage technical workstreams proactively and independently, including custom research projects on Adverteyes and third-party platforms
• Scope, process, analyze, and deliver complex projects on the Adverteyes platform throughout the project lifecycle
• Partner with Product, Engineering, Data Science, and Sales teams
• Work with large datasets in Excel, including macros, to prepare client and internal deliverables
• Handle bulk asset downloads, API uploads, and generation of insights and reports
• Identify and resolve data quality issues
• Provide first-line support for clients on project-related and technical issues
• Coordinate with vendors, clients, and external partners
• Use Excel and/or SQL regularly to optimize workflows
• Handle sensitive GDPR compliance-related requests
• Own third-party scoping, templating, automation, and tool development to improve operational efficiency
• Contribute to process improvements, continuous improvement, documentation, training, and onboarding
• Support team learning, coordination, ownership, and independence
• Drive role-level decision-making, collaboration, and accountability

• Bachelor's degree in a technical, business, or management-related field, or equivalent professional/technical experience
• Strong Microsoft Office skills, particularly Excel, including formulas, pivot tables, data manipulation, and ideally macros
• Basic knowledge of SQL
• Strong problem-solving and analytical skills
• Ability to investigate issues, identify root causes, and take appropriate action independently
• Highly detail-oriented, proactive, organized, adaptable, and accountable
• Comfortable managing multiple projects or priorities in a client-focused environment
• Comfortable working with sensitive data and handling GDPR-related requests accurately and discreetly
• Strong communication and collaboration skills with Engineering, Data Science, Sales, clients, and external partners
• Experience in operations, data operations, market research, project coordination, or a related field is a plus
• Familiarity with basic statistical concepts and analysis, such as correlation analysis, is a plus
• Experience with AWS, JIRA, Claude, Zendesk, or similar tools is an advantage
• Basic knowledge of Python, R, or Power BI is an advantage

• Competitive compensation
• Unlimited holidays
• 100% paid sick leave
• Fully remote work environment
• Direct mentorship and growth path toward greater client ownership
• Flexibility and autonomy
• Full onboarding on the platform, methodology, and operating landscape
• Collaboration with a world-class data science and engineering team
• Opportunity to contribute to a newly formed company building AI measurement technology