Senior Data Analyst, Marketing Analytics

Role overview

Senior Data Analyst, Marketing Analytics partnering with marketing teams to turn complex data into actionable business insights. This fully remote role focuses on acquisition, engagement, retention, and revenue optimization through advanced marketing analytics, measurement, and reporting.

Responsibilities

• Act as the primary analytics partner for marketing initiatives across multiple business lines.
• Develop and maintain reporting frameworks to measure campaign effectiveness across acquisition and engagement channels.
• Analyze performance using customer journeys, conversion funnels, audience behavior, and retention metrics to identify growth opportunities.
• Build and manage marketing attribution models to support budgeting, optimization, and investment decisions.
• Support conference and membership marketing with registration analysis, engagement reporting, segmentation, and lifecycle analytics.
• Create executive dashboards and recurring reports for senior leadership.
• Write advanced SQL queries and deliver scalable reporting solutions using BI tools (e.g., Tableau).
• Partner with Data Engineering/Analytics Engineering to improve data quality and analytical infrastructure.
• Measure and evaluate A/B tests and provide statistically informed recommendations.
• Conduct ad hoc analyses to surface trends, risks, and opportunities while advising cross-functional stakeholders.

Requirements

• Bachelor’s degree in a quantitative field (Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Marketing Analytics, Business Analytics, or similar).
• 5–7 years of experience in data analytics/BI/marketing analytics.
• Advanced SQL expertise for independent analysis of large and complex datasets.
• Strong dashboarding and visualization experience with Tableau (or comparable BI tools).
• Experience with cloud data platforms such as Snowflake.
• Solid marketing analytics knowledge: attribution modeling, customer lifecycle analysis, cohort analysis, retention metrics, and lifetime value modeling.
• Ability to communicate findings and recommendations to senior stakeholders.
• Strong analytical, organizational, and communication skills; ability to manage multiple priorities.

Nice to haves

• Experience with subscription, membership, SaaS, media, conferences, or event-driven businesses.
• Familiarity with Google Analytics (GA4), dbt, modern data stack technologies, and/or Python (or other analytical programming languages).
• Experience designing, measuring, and evaluating A/B tests.

Location & work style

• Based in the United States; fully remote environment.