Senior Marketing Data & Analytics Lead
New
J
JobgetherMarketing Analytics
Based in United StatesFull-TimeLead
Salary$202,000–$304,000
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Job Details
- Experience
- 8+ years
- Required Skills
- SQLBusiness IntelligenceData visualizationCRM
Requirements
- 8+ years of experience in marketing analytics, business intelligence, performance analytics, strategy, or a related discipline.
- Strong SQL skills and hands-on experience working with data warehouses, analytical datasets, and business intelligence or dashboarding platforms.
- Demonstrated experience with marketing measurement, funnel analysis, attribution, forecasting, experimentation, channel performance, and/or ROI analysis.
- Experience combining and analyzing data from marketing automation, CRM, web, advertising, and revenue systems.
- Proven ability to present insights, recommendations, and business implications to senior stakeholders and decision-makers.
- Strategic and commercially minded approach, with the ability to connect analytical findings to measurable business outcomes.
- Strong problem-solving skills and the ability to independently navigate ambiguity, incomplete information, and complex business questions.
- Excellent communication and data storytelling skills, including the ability to clearly explain what the data shows, what it does not show, and what actions should follow.
- Collaborative approach with the ability to build effective relationships across technical and non-technical teams.
- Strong attention to detail while maintaining focus on broader strategic objectives and business decisions.
- Experience in B2B SaaS, subscription businesses, or other multi-channel growth environments is preferred.
- Demonstrated curiosity, continuous-learning mindset, and interest in improving data products, analytical methodologies, and team practices.
Responsibilities
- Lead analytics projects end-to-end, from defining business questions and sourcing data through analysis, storytelling, recommendations, and follow-through.
- Build, enhance, and maintain reporting, dashboards, analytical models, and measurement frameworks covering marketing performance, funnel health, pipeline contribution, and investment efficiency.
- Analyze channel, campaign, audience, lifecycle, website, and funnel performance to identify growth opportunities and explain changes in results.
- Support attribution, forecasting, target setting, pipeline pacing, budget planning, experimentation, and ROI analysis using rigorous methodologies and transparent assumptions.
- Partner with Marketing Operations, Finance, Sales and Revenue Operations, Data and Engineering, and functional marketing teams to strengthen data quality and improve decision-making processes.
- Develop reusable metrics, definitions, documentation, and analytical frameworks that improve consistency, scalability, and self-service across marketing teams.
- Translate complex analytical findings into concise, actionable recommendations tailored to audiences ranging from technical specialists to executive leaders.
- Mentor peers and contribute to a culture of analytical rigor, curiosity, continuous learning, and ongoing improvement of analytical methods and practices.
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