Senior Marketing Analyst, Komodo Health

• 4+ years of experience in B2B marketing analytics, with a deep understanding of marketing channels, website analytics, and common marketing metrics
• Highly data-driven with the ability to translate complex data insights into actionable recommendations for marketing and leadership teams
• Builder mindset: Excels at taking ownership in an environment where processes and systems need to be built and standardized from the ground up
• Bias for action: Driven to get things moving quickly, prioritize impact, and execute programs with speed and efficiency
• Hands-on experience with BI tools and a typical martech stack to extract and analyze complex datasets
• Strong understanding of multi-touch attribution, marketing mix modeling, and campaign ROI measurement

Desirable

• As a Senior Marketing Analyst you will own the strategy and execution of marketing analytics, ensuring we measure what matters and act on data-driven insights
• You will develop attribution models, optimize marketing spend, and enhance funnel efficiency, while collaborating with cross-functional teams to improve targeting and engagement
• Looking back on your first 12 months at Komodo Health, you will have accomplished…
• Built and maintained marketing analytics dashboards that provide actionable and accurate insights across campaigns, channels, and customer segments
• Developed attribution models that quantify the impact of various marketing touchpoints on revenue generation
• Conducted deep-dive funnel and conversion analyses, identifying optimization opportunities to improve lead quality and sales alignment
• Built a strong partnership with Finance and Revenue Ops teams to provide marketing spend analysis and pipeline forecasting support
• Partnered with RevOps and IT to ensure the quality, consistency, and accuracy of marketing data across all relevant systems
• This role will establish a robust marketing performance measurement framework, defining key KPIs and creating real-time dashboards
• Develop and implement a multi-touch attribution model to accurately assess the effectiveness of various marketing channels
• Optimize lead-to-revenue funnel performance, identifying and addressing drop-off points in the conversion process
• Improve forecasting accuracy by providing data-backed insights on pipeline generation and marketing spend efficiency
• Strengthen marketing data infrastructure and automation by integrating analytics across key platforms