Senior Marketing Analytics Manager
Recorded FutureSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Marketing, AnalyticsIndustries
Requirements
Candidates should possess a Bachelor's degree in Marketing, Analytics, Statistics, or a related field, along with a minimum of 7 years of experience in marketing analytics, preferably within a SaaS or technology environment. Strong proficiency in data visualization tools such as Looker, HockeyStack, and Salesforce is required, as well as experience with SQL and data warehousing concepts.
Responsibilities
The Marketing Analytics Manager will build and manage dashboards and reports in Looker, HockeyStack, and Salesforce to enable data-driven decision making, ensuring data integrity through robust data hygiene and governance practices. They will analyze campaign, channel, and funnel performance with a focus on ROI, budget efficiency, and pipeline contribution, delivering recurring reporting cadences including weekly snapshots, monthly dashboards, and quarterly business reviews (QBRs) — highlighting performance, insights, and areas for improvement. This role involves supporting preparation of board-level reporting, providing clear, executive-ready insights on marketing contribution to pipeline and revenue, partnering with Demand Gen, Product Marketing, and Sales Ops to build full-funnel visibility, and providing strategic recommendations to improve performance, reduce CAC, and optimize budget allocation.
Skills
Looker
HockeyStack
Salesforce
Data Analysis
Reporting
Marketing Analytics
Forecasting
Data Hygiene
Data Governance
ROI Analysis
Dataminr
Real-time AI for risk detection and alerts
About Dataminr
Dataminr leverages artificial intelligence to detect early signs of significant events and emerging risks from publicly available data in real-time. Its platform provides insights to businesses, public sector organizations, and newsrooms, helping them respond proactively to potential threats and uncover stories before they become mainstream. The technology utilizes deep learning and multi-modal AI fusion to enhance event detection accuracy by analyzing various data types together. Dataminr operates on a business-to-business model and aims to empower organizations to effectively manage risks and respond to high-impact events.
Key Metrics
New York City, New YorkHeadquarters
2009Year Founded
$1,023.3MTotal Funding
SERIES_FCompany Stage
Data & Analytics, AI & Machine LearningIndustries
501-1,000Employees