Marketing Systems and Analytics Manager

Posted 2 months agoViewed
United StatesFull-TimeMarketing Technology
Company:
Location:United States
Languages:English
Seniority level:Manager, 3+ years
Experience:3+ years
Skills:
Project ManagementArtificial IntelligenceBusiness IntelligenceData AnalysisMachine LearningSalesforceJiraTableauMicrosoft ExcelChange ManagementReporting
Requirements:
3+ years of experience in marketing systems, operations, or analytics roles Direct ownership of MarTech strategy and reporting Hands-on experience with 6sense, HubSpot, Salesforce, Qualified, and Salesloft (or comparable platforms) Proven ability to translate marketing and business goals into technical solutions and measurable KPIs Advanced reporting and data analysis skills (e.g., Excel, Tableau, Looker, or similar BI tools) Strong understanding of B2B SaaS marketing funnels, attribution, and performance metrics Excellent communication skills Experience managing complex marketing and sales system integrations (preferred) Familiarity with predictive analytics, AI-driven marketing tools, and lead scoring models (preferred) Strong project management and change management capabilities (preferred) Comfort working in a dynamic, fast-paced, data-driven environment (preferred)
Responsibilities:
Own strategy, optimization, and management of marketing technology stack Drive utilization and integration of marketing and sales tools Oversee marketing system execution for lead management and funnel design Define and improve marketing funnel framework and lifecycle stages Educate marketing team on tool adoption and data-driven workflows Develop advanced marketing performance reporting dashboards Own forecasting and planning models Deliver campaign performance analysis, pipeline reporting, and attribution modeling Support financial reporting (ROI, CAC, LTV) Provide data-driven insights and recommendations Champion and operationalize AI tools and automation Identify opportunities to leverage AI for efficiency and performance Enable and train team on practical AI use cases Partner with RevOps and Data & Analytics for system alignment and data integrity Serve as a member of the Data Hygiene Committee Collaborate cross-functionally for end-to-end visibility
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