Lead and manage the B2B marketing analytics/technical team, fostering their development and ensuring alignment with company objectives.
Lead the discovery of deep, localized insights from granular data to drive targeted initiatives and inform strategic decisions.
Act as a strategic partner in cross-functional forums with the Sales team, ensuring strong alignment between marketing initiatives and sales objectives to accelerate the pipeline.
Develop and deliver executive-level reports on demand generation and growth KPIs, providing actionable insights for senior leadership.
Define and unify B2B marketing funnel concepts (e.g., Traffic, Lead, MQL, Opportunities, Cost per Lead) to measure performance and its impact on revenue growth.
Oversee the development of dashboards and reports, applying data governance best practices to ensure data integrity.
Evaluate and implement marketing analytics tools and technologies (e.g., Tableau, Google Analytics, Salesforce) to support the B2B marketing funnel.
Leverage AI-driven insights for campaign optimization, multi-touch attribution modeling, and other B2B initiatives to maximize marketing ROI.
Lead the B2B data budget and planning cycle, partnering with global business leaders to define targets and with the Data Strategy team on forecasting methodology.
Promote wellbeing and a supportive environment consistent with the company's mission.
Requirements
Previous relevant years of progressive experience in marketing or overall analytics within a B2B SaaS environment, with experience in a leadership/management role.
Bachelor's or Master's degree in Business, Analytics, Engineering, or a related quantitative field.
Strong experience in data analysis and interpretation.
Solid grasp of the B2B lead-to-revenue funnel, including key metrics, lead scoring, and attribution models.
Proficiency in data visualization tools (Tableau, Looker), web analytics (Google Analytics, Amplitude), and the MarTech ecosystem (Salesforce, HubSpot).
Proven ability to influence strategy through data storytelling.
Strong leadership, proactivity, and the talent to translate complex data into compelling insights for diverse audiences.
Fluent English is mandatory.
Familiarity with AI use cases in B2B problems and AI/ML models.
Prior experience in marketing analytics within a B2B SaaS environment, managing and leading teams and advanced English are mandatory requirements.