Responsibilities

• Data Governance & Quality Management: Lead data governance standards across marketing systems, ensuring data accuracy, consistency, and compliance; monitor and maintain data hygiene, including deduplication, identity resolution, and system integrations.
• Analytics & Business Intelligence: Support marketing analytics initiatives; work with analytics to develop BI dashboards; translate marketing data into actionable insights and recommendations.
• Marketing Technology Project Support: Participate in the rollout of new marketing technology solutions through rigorous quality assurance testing; document test plans, identify defects, validate functionality, and ensure systems meet requirements prior to launch; support documentation and user enablement.
• Audience Segmentation Support: Support audience segmentation within CDP platform for ad hoc initiatives and campaigns.
• Platform Operations & Optimization: Oversee daily operations, monitoring, and troubleshooting for key marketing platforms, including Klaviyo, Monday.com, Amperity; identify opportunities to improve workflows, integrations, and platform performance.

Requirements

• 5+ years of experience in marketing technology, analytics, or related technical marketing operations role.
• Some experience with business intelligence platforms (Power BI, Tableau, Looker, etc.).
• Hands‑on experience with MarTech systems such as email/SMS platforms, CDPs, workflow tools, or CRM systems.
• Solid understanding of data structures, data governance principles, and system integrations.
• Experience participating in or leading QA processes for technology rollouts.
• Ability to communicate effectively with both technical and non‑technical stakeholders.
• Strong analytical, problem‑solving, and project‑management skills.
• Familiarity with APIs, ETL processes, customer data pipelines, and data mapping.
• Knowledge of marketing attribution modeling or advanced analytics practices.
• Background in working within multi‑location or franchise business models (if relevant).
• Experience collaborating directly with IT, data engineering, or enterprise architecture teams.