Responsibilities

• Data Analysis: Extract and organize data from disparate sources, including but not limited to prospect lists, internal data warehouse environments, and site traffic databases, into a usable form for consumption and analysis.
• Use tools like R and SQL to perform statistical analysis of campaign effectiveness such as response rate and ROI calculations, page waterfall analysis, user segmentation.
• Create self-serve reporting dashboards leveraging large datasets with SQL in Looker, PowerBI, and Amplitude.
• Ad Operations and Tag Management: Validate that inputs within marketing execution tools such as Braze, Marketo, Google Tag Manager, and Google Analytics are set to ensure proper tracking and measurement of campaigns.
• Define and maintain UTM taxonomies; enforce governance for consistent attribution and reporting.
• Troubleshoot tracking issues.
• Experimentation and Incrementality: Design and build A/B or multivariate testing frameworks to help marketing test various hypotheses.
• Define and manage KPIs including ROI, CAC, and LTV, deliver analysis, and manage the overall reporting of metrics and insights which lead to marketing conversion improvements.
• Collaborate with Marketing, Product and Sales Org to deliver strategic insights.
• Partners with marketing, product, and sales to understand how analytics can help enable, measure, and achieve business goals.