Responsibilities

• Analyze marketing performance across multiple digital channels, including revenue, ROAS, acquisition, conversion, spend efficiency, and other key KPIs.
• Use SQL and analytical tools to combine data sources, investigate trends, diagnose performance changes, and answer complex business questions.
• Turn data into action by identifying opportunities, risks, and clear recommendations to improve marketing performance.
• Design and evaluate marketing tests, including hypotheses, success metrics, measurement plans, and post-test analysis.
• Improve reporting and measurement to make marketing insights more accurate, scalable, and actionable.
• Support conversion tracking and measurement, including Google Tag Manager, platform tracking, QA, and troubleshooting.
• Manage and optimize assigned channels and campaigns, executing strategies and identifying opportunities for improvement.
• Lead projects and collaborate cross-functionally with Marketing, Analytics, Data, Technology, agencies, vendors, and other partners.

Requirements

• Experience in ecommerce performance marketing, with exposure to multiple paid or measurable digital marketing channels.
• Strong SQL skills with the ability to independently query, join, manipulate, and analyze large datasets.
• Strong analytical skills and experience using marketing and business data to identify trends, diagnose performance changes, and recommend actions.
• Strong understanding of performance marketing metrics, including revenue, ROAS, conversion rate, customer acquisition, and media efficiency.
• Experience developing, executing, or evaluating marketing tests and experiments.
• Experience building and maintaining recurring reports, analyses, or dashboards.
• Working knowledge of Google Tag Manager, conversion tracking, QA, and troubleshooting.
• Strong spreadsheet skills and comfort working across multiple data sources.
• Strong written and verbal communication skills, with the ability to translate complex analysis for both technical and non-technical audiences.
• Strong attention to detail with the ability to manage multiple projects and priorities.

Preferred

• Experience improving or scaling marketing analytics, reporting, or measurement processes, including automation of recurring analysis.
• Experience working with cloud data warehouses or large-scale marketing datasets.
• Hands-on experience with platforms such as Google Ads, Microsoft Advertising, Meta Ads, Google Analytics 4, and Google Tag Manager.
• Experience with BI and visualization tools such as Looker, Tableau, Power BI, or similar platforms.
• Experience with attribution, incrementality testing, customer-level analysis, or advanced marketing measurement.
• Experience partnering with Data, Analytics, Engineering, or Technology teams on tracking, data collection, measurement, or reporting initiatives.
• Experience managing agencies, vendors, affiliate platforms, or marketing technology partners.