Senior Manager, B2B Marketing Analytics

Teladoc Health is a company focused on transforming virtual care. The Senior Manager, B2B Marketing Analytics will lead analytics efforts to optimize the B2B go-to-market strategy, collaborating with various teams to deliver insights and measurement frameworks.

Responsibilities:

• Own B2B marketing measurement strategy across the funnel, including demand generation, ABM, pipeline contribution, revenue impact, and client lifecycle performance
• Develop and evolve attribution, funnel, and performance frameworks that enable confident decision‑making and investment prioritization across channels and programs
• Translate complex data into clear insights and narratives, delivering executive‑level reporting and recommendations that influence strategy and planning
• Partner cross‑functionally with Marketing, Sales, Ops, Finance, and Data Science to align on metrics, definitions, and business questions
• Analyze performance of campaigns, channels, and segments, identifying optimization opportunities and growth levers
• Build scalable reporting and dashboards using BI tools to enable self‑service insights for stakeholders while maintaining analytical rigor
• Contribute to analytics best practices, including documentation, data quality standards, and consistent use of KPIs across the organization

Requirements:

• Bachelor's degree in a quantitative or business‑related field (e.g., Statistics, Economics, Mathematics, Business, Marketing)
• 6+ years of experience in marketing analytics, growth analytics, or a related analytics role, with significant exposure to B2B business models and metrics
• 2+ years of experience with B2B marketing and sales funnels, including lead management, pipeline, revenue attribution, and account‑based marketing
• Proven ability to influence senior stakeholders through data‑driven insights and compelling storytelling
• Hands‑on experience with analytics and BI tools (e.g., SQL, Tableau, Looker, Power BI, or similar)
• Experience working with CRM and marketing platforms (e.g., Salesforce, Marketo, HubSpot, or equivalents)
• Comfortable operating in ambiguous environments, balancing speed with accuracy and iterating toward better answers
• Experience partnering closely with data engineering or data science teams to improve data quality, accessibility, and scalability
• Experience in B2B2C / partner-led go-to-market models (e.g., selling through brokers, consultants, or resellers) and measuring marketing influence across multi-stakeholder buying committees in long, relationship-driven sales cycles