Responsibilities

• Own data quality, QA processes, and taxonomy governance across all Hilton measurement and reporting workstreams — including defining, recommending, and maintaining QA standards.
• Continue the transition of recurring reports into a dashboard-first environment (Power BI), ensuring data integrity and visualization quality meet client-facing standards.
• Manage and integrate multi-source, multi-channel data (paid media, owned, and third-party) into clean, reliable, decision-ready datasets.
• Partner cross-functionally with measurement, analytics, and account teams to tie data infrastructure to measurement plans and learning agendas.
• Serve as the trusted data lead in client interactions — assessing feasibility upfront, setting realistic expectations, and delivering credible recommendations.

Requirements

• Bachelor's degree in Statistics, Economics, Data Science or related quantitative field
• 4-6+ years in data engineering, data management, or analytics engineering, with a track record in high-volume, complex environments.
• Demonstrated ownership of data QA and taxonomy governance. Able to design, adhere and execute a QA process.
• High proficiency in data visualization tools (Excel, Tableau, Power BI).
• Multi-source, multi-channel data experience across the media/marketing ecosystem.
• Ability to work autonomously with large datasets with limited management oversight.
• Strong client-facing skills, including sound judgment on feasibility and the ability to manage expectations with integrity.
• Strong interpersonal skills with ability to collaborate and work with internal cross-channel and client teams.
• High attention to detail.
• Excellent problem solving and critical thinking skills.

Benefits

• Medical, vision, and dental insurance,
• Life insurance,
• Short-term and long-term disability insurance,
• 401k,
• Flexible paid time off,
• At least 15 paid holidays per year,
• Paid sick and safe leave, and
• Paid parental leave.