Senior Marketing Data Analyst

Senior Marketing Data Analyst

Requirements

• 8+ years of experience in marketing analytics, with expertise in data analysis, reporting, and campaign optimization.
• Advanced knowledge of attribution analytics and models, including first-touch, last-touch, and multi-touch attribution.
• Strong understanding of customer journey analytics, marketing funnel performance metrics, and the interplay between marketing and sales touchpoints.
• Proficiency in analytics tools such as Sigma, Google Analytics, Tableau, HockeyStack, or Looker.
• Experience with SQL or Python for data querying is highly desirable.
• Experience managing and analyzing data from CRM and marketing automation platforms like Salesforce, HubSpot, and Marketo.
• Proven track record of driving business impact through data-driven marketing strategies and performance optimization.
• Excellent problem-solving, communication, and collaboration skills, with the ability to present complex data insights in a clear and actionable way.

Responsibilities

• Develop a comprehensive marketing analytics strategy, creating a framework for tracking marketing funnel performance across campaigns, channels, and audience segments.
• Build and implement multi-touch attribution models to evaluate the effectiveness of marketing initiatives and provide clarity on how different channels contribute to pipeline and revenue.
• Design and maintain dashboards and reporting structures to provide real-time visibility into key performance indicators (KPIs) such as pipeline contribution, lead-to-customer conversion rates, CAC, and customer LTV.
• Analyze marketing performance data across channels, including email, web, paid media, events, and ABM campaigns to uncover trends and opportunities for optimization.
• Provide actionable insights to marketing, sales, and executive teams to improve campaign effectiveness, pipeline growth, and customer acquisition strategies.
• Perform advanced analyses, such as cohort analysis, ROI forecasting, and customer segmentation, to guide strategic decision-making.
• Use attribution insights to identify gaps in the customer journey and recommend strategies to improve conversion rates at each stage of the funnel.
• Collaborate with the demand generation, ABM, content, and events teams to optimize campaigns based on performance insights and analytics.
• Partner with sales and revenue operations teams to align marketing and sales data, enabling seamless pipeline tracking and more accurate forecasting.
• Work closely with the product marketing and customer success teams to evaluate customer engagement metrics.

Preferred Qualifications

• Experience with SQL or Python for data querying is highly desirable.