Senior Marketing Operations and Analytics Manager

at  Matillion

Matillion is The Data Productivity Cloud.
We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data.
We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves.
Matillion is seeking an experienced and versatile Senior Marketing Operations and Data Analytics Manager to drive the strategic execution of our digital marketing channels, analytics, and marketing operations. This role will merge deep analytical expertise with technical operations leadership to optimize Matillion’s digital marketing efforts, mar-tech stack, and data-driven decision-making. You will play a crucial part in enhancing our marketing technology, ensuring data integrity, and aligning analytics frameworks that support Matillion’s growth goals.

• Analytics and Insights: Analyze website and digital channel performance to maximize conversions. Generate digital performance reports, conduct experiment analyses, and develop actionable insights.
• Forecasting and Predictive Analysis: Work with the Data Science team on predictive analyses and trends forecasting to inform marketing strategy.
• MarTech Stack Ownership: Lead the continual enhancement, evaluation, and maintenance of the marketing technology stack, selecting best-in-class solutions to boost visibility, efficiency, and scale.
• Process Optimization: Design and document standardized processes for campaign execution, lead management, data integrity, and cross-functional collaboration.
• Database Integrity: Ensure the health, privacy, and compliance of our marketing data, maintaining structures that support personalization, regional targeting, and account-based marketing (ABM).
• Lead and Demand Management: Define lead management standards and coordinate with sales to establish service-level agreements (SLAs) and optimal routing processes.
• Reporting and Self-Service Analytics: Build reporting and analytics frameworks that empower real-time data access and facilitate self-serve insights across business intelligence platforms.
• Testing and Innovation: Experiment with new processes and approaches to enhance campaign execution and performance, using data-driven insights to inform improvements.