Responsibilities

• Analyze digital and marketing performance across web, e-commerce, self-service, assisted channels, and marketing campaigns, including traffic, conversion, funnel performance, customer engagement, and revenue contribution.
• Develop insights into customer behavior throughout the end-to-end customer journey, identifying opportunities to improve acquisition, engagement, conversion, retention, and customer lifetime value.
• Partner with Marketing, E-commerce, Commercial Excellence, and Revenue Operations teams to evaluate campaign performance, channel effectiveness, attribution, marketing mix, and return on investment (ROI), recommending optimization strategies.
• Translate complex analytical findings into clear, actionable recommendations through compelling data storytelling and executive-level presentations.
• Support experimentation initiatives, including A/B testing and conversion optimization, by defining success metrics, analyzing results, and providing recommendations.
• Identify trends, patterns, and business opportunities through analysis of internal and external data sources.
• Build Power BI dashboards, reports, and visualizations to automate insight.
• Integrate digital analytics, CRM, marketing automation, and commercial data to provide a comprehensive view of customer and revenue performance.
• Develop scalable analytical frameworks, performance metrics, KPIs, benchmarks, and data pipelines to support ongoing business decision-making.
• Perform advanced statistical and quantitative analyses, including regression analysis, significance testing, segmentation, attribution modeling, marketing mix analysis, and predictive modeling where appropriate.

Requirements

• Bachelor's degree in Analytics, Data Science, Statistics, Economics, Business, Marketing, Computer Science, or a related field.
• 5+ years of experience in digital analytics, marketing analytics, e-commerce analytics, consulting, or a related analytical role.
• Strong experience analyzing digital funnels, customer journeys, campaign performance, web analytics, conversion rates, attribution, marketing effectiveness, and ROI.
• Experience working with large datasets and translating analysis into actionable business insights.
• Hands-on experience with digital analytics platforms such as Google Analytics, Adobe Analytics, Adobe Marketing Cloud, or similar platforms.
• Strong analytical, quantitative, and problem-solving skills.
• Experience with Power BI, SQL, Excel, and at least one analytical programming language such as Python.
• Experience working with marketing technology platforms, CRM systems, and marketing automation tools.
• Excellent communication and presentation skills, with the ability to explain complex analyses to technical and non-technical audiences.
• Proven ability to collaborate effectively across cross-functional and matrixed organizations.

Preferred

• Experience in technology, life sciences, SaaS, e-commerce, or other data-driven organizations.
• Experience with Salesforce CRM, Marketo, or similar marketing automation platforms.
• Experience with business intelligence and visualization tools such as Power BI, Tableau, or Looker.
• Knowledge of experimentation frameworks, A/B testing methodologies, and conversion rate optimization.
• Experience with statistical modeling, predictive analytics, machine learning techniques, customer segmentation, clustering, and classification models.
• Experience integrating digital analytics with downstream commercial, sales, and revenue data.
• Familiarity with customer lifetime value modeling, marketing attribution, and marketing mix modeling.