Senior Analyst, Marketing Analytics

Responsibilities:

Data Analytics & Insight Generation (30%)

• Analyze marketing, digital, and campaign data to uncover patterns and deliver actionable insights.
• Support performance measurement, experimentation, and strategic decision-making across the marketing funnel.
• Translate business questions into structured analyses and data-driven narratives.

Data Infrastructure & Engineering (30%)

• Design and maintain scalable data pipelines and workflows using SQL , Python , and Databricks .
• Build and evolve a marketing data lake , integrating APIs and data from multiple platforms and tools.
• Work across cloud environments (Azure, AWS) to support analytics-ready data at scale.

Project & Delivery Ownership (25%)

• Serve as project lead or scrum owner across analytics initiatives planning sprints, managing delivery, and driving alignment.
• Use tools like JIRA to manage work in an agile environment and ensure timely execution.
• Collaborate with cross-functional teams to align priorities and execute on roadmap initiatives.

Visualization & Platform Enablement (15%)

• Build high-impact dashboards and data products using Tableau , with a focus on usability, scalability, and performance.
• Enable stakeholder self-service through clean data architecture and visualization best practices.
• Experiment with emerging tools and capabilities, including GenAI for assisted analytics.

Experience

• 5+ years of experience in data analytics, digital analytics, or data engineering, ideally in a marketing or commercial context.

Hands-on experience with Responsibilities:

Data Analytics & Insight Generation (30%)

• Analyze marketing, digital, and campaign data to uncover patterns and deliver actionable insights.
• Support performance measurement, experimentation, and strategic decision-making across the marketing funnel.
• Translate business questions into structured analyses and data-driven narratives.

Data Infrastructure & Engineering (30%)

• Design and maintain scalable data pipelines and workflows using SQL , Python , and Databricks .
• Build and evolve a marketing data lake , integrating APIs and data from multiple platforms and tools.
• Work across cloud environments (Azure, AWS) to support analytics-ready data at scale.

Project & Delivery Ownership (25%)

• Serve as project lead or scrum owner across analytics initiatives planning sprints, managing delivery, and driving alignment.
• Use tools like JIRA to manage work in an agile environment and ensure timely execution.
• Collaborate with cross-functional teams to align priorities and execute on roadmap initiatives.

Visualization & Platform Enablement (15%)

• Build high-impact dashboards and data products using Tableau , with a focus on usability, scalability, and performance.
• Enable stakeholder self-service through clean data architecture and visualization best practices.
• Experiment with emerging tools and capabilities, including GenAI for assisted analytics.

Experience

• 5+ years of experience in data analytics, digital analytics, or data engineering, ideally in a marketing or commercial context.
• Hands-on experience with SQL , Python , and tools such as Databricks , Azure , or AWS .
• Proven track record of building and managing data lakes , ETL pipelines , and API integrations .
• Strong proficiency in Tableau ; experience with Tableau Prep is a plus.
• Familiarity with Google Analytics (GA4) , GTM , and social media analytics platforms.
• Experience working in agile teams , with comfort using JIRA for sprint planning and delivery.
• Exposure to predictive analytics , modeling, and GenAI applications is a plus.
• Strong communication and storytelling skills able to lead high-stakes meetings and deliver clear insights to senior stakeholders.
• Excellent organizational and project management skills; confident in managing competing priorities.
• High attention to detail, ownership mindset, and a collaborative, delivery-focused approach.
• and tools such as Databricks , Azure , or AWS .
• Proven track record of building and managing data lakes , ETL pipelines , and API integrations .
• Strong proficiency in Tableau ; experience with Tableau Prep is a plus.
• Familiarity with Google Analytics (GA4) , GTM , and social media analytics platforms.
• Experience working in agile teams , with comfort using JIRA for sprint planning and delivery.
• Exposure to predictive analytics , modeling, and GenAI applications is a plus.
• Strong communication and storytelling skills able to lead high-stakes meetings and deliver clear insights to senior stakeholders.
• Excellent organizational and project management skills; confident in managing competing priorities.
• High attention to detail, ownership mindset, and a collaborative, delivery-focused approach.