At the forefront of data-driven decision-making, we're seeking a visionary leader to build the future of analytics for our global Marketing and Sales organization.
This high-impact role demands ownership of analytics, forecasting, and advanced modeling to optimize revenue growth, marketing efficiency, and pipeline strategy.
You will work closely with our leadership team, aligning to US working hours and play a pivotal role in shaping our worldwide growth trajectory.
Main Responsibilities:
- Design and implement a global analytics ecosystem, ensuring seamless data ingestion, warehousing, modeling, visualization, and governance.
- Partner with engineering to enhance data pipelines and marts in Snowflake/SQL, driving data integrity and consistency across reports.
- Owning end-to-end funnel reporting: lead gen, pipeline velocity, CAC, ROAS, conversion rates, and payback periods.
- Identify inefficiencies in the funnel and design data-backed solutions with Marketing & Sales leadership.
- Continuously measure campaign ROI connecting top-of-funnel spend to bottom-line revenue.
- Lead global forecasting processes, ensuring accuracy in pipeline and revenue projections.
- Build ML/statistical models to predict ROI, pipeline creation, and campaign outcomes.
- Run scenario simulations to guide marketing spend allocation and growth vs.
efficiency trade-offs.
- Apply ML/AI frameworks to optimize lead scoring, churn prediction, and customer lifetime value (LTV).
- Automate insights delivery using Python, SQL, and AI APIs.
- Explore advanced use cases: attribution modeling, sentiment analysis, and hyper-personalization.
- Act as the analytical partner to global Marketing & Sales leadership, presenting insights in executive-ready narrative-driven formats.
- Collaborate cross-functionally with Finance, Product, and Customer Success to create a holistic growth view.
- Lead the design of real-time executive dashboards and build scalable reusable BI assets.
- Conduct deep-dive analyses on campaign effectiveness, regional pipeline trends, and sales productivity.
- Deliver rapid-turnaround insights to support C-suite decisions.
- Create benchmarking frameworks against SaaS industry best practices.
Requirements:
- 8+ years in Business Insights, Marketing Analytics, GTM Analytics, or Marketing Operations.
- Advanced proficiency in SQL & Python for data manipulation, automation, and modeling.
- BI & Visualization Tools: Tableau, Power BI, and Sigma BI.
- CRM Platforms: Salesforce, campaign analytics, pipeline management.
- Familiarity with MarTech stacks, attribution tools, and marketing automation platforms.
- Experience applying ML/AI for marketing, including lead scoring, churn modeling, and campaign ROI prediction.
- Strong understanding of SaaS GTM models, marketing funnels, CAC/LTV frameworks, and revenue attribution.
- Experience designing and measuring ROI, CAC, payback, and LTV models.
- Familiarity with working in US-based multinational SaaS or B2B organizations preferred.
- Ability to translate complex data into strategic executive-ready narratives.
- Proven track record of cross-functional stakeholder management across geographies and cultures.
- Experience influencing decision-making at both operational and strategic levels.
- Results-oriented, detail-driven, and highly analytical.
- Thrives in fast-paced, high-growth environments with shifting priorities.
- Self-motivated problem-solver with a bias toward action and automation.
- Excellent verbal and written communication skills with a talent for storytelling with data.