Sr Analyst, Marketing Analytics POST NUMBER: 480621

About the Role

Our client — a well-established, growth-focused organization in the Orlando market — is looking for a Senior Analyst to join their Marketing Analytics team. This is a high-impact, hybrid role for someone who thrives at the intersection of data and marketing strategy. You'll work closely with Marketing, Analytics, and cross-functional leadership to measure campaign performance, uncover customer insights, and drive smarter investment decisions across digital and offline channels.
This is a rare opportunity to step into a mature attribution and measurement environment where your work will directly shape how the organization understands its customers and optimizes growth.

What You'll Do

Marketing Performance & Channel Optimization

• Analyze performance across paid and owned channels to surface trends and optimization opportunities
• Deliver insights on audience targeting, campaign effectiveness, creative performance, and spend ROI
• Support acquisition efficiency improvements and conversion rate analysis

Customer & Audience Analytics

• Analyze customer behavior, funnel performance, and audience segmentation
• Identify high-value customer segments and lifecycle engagement patterns
• Support customer acquisition, retention, and loyalty-focused initiatives

Attribution, Measurement & Experimentation

• Leverage and refine a mature multi-touch attribution framework
• Design and analyze A/B tests, holdout studies, and incrementality experiments
• Partner with stakeholders to improve measurement methodologies and reporting consistency

Reporting & Data Collaboration

• Build and enhance scalable dashboards and reporting tools for marketing and leadership teams
• Query and analyze large datasets using SQL and cloud-based platforms
• Automate reporting processes and validate tracking/campaign data accuracy

What We're Looking For

Must-Haves

• 4 years of experience in marketing analytics, digital analytics, or growth analytics
• Strong command of SQL and experience working with large datasets
• Hands-on experience with Google Analytics, Looker Studio, Power BI, and/or BigQuery
• Solid understanding of attribution models, A/B testing, and multi-channel performance measurement
• Experience with customer segmentation, funnel analysis, or audience analytics
• Ability to translate complex data into clear, actionable business insights for both technical and non-technical audiences
• Bachelor's degree in Marketing, Analytics, Statistics, Economics, Math, Computer Science, or related field

Nice to Haves

• Experience with Python, R, or Databricks
• Familiarity with incrementality testing and advanced attribution concepts
• Background in customer lifecycle, retention, or loyalty-driven businesses
• Exposure to AI tools or automation workflows for analytics efficiency
• Basic familiarity with APIs, marketing technology platforms, or HTML