Senior Marketing Insights Analyst
$102,000–$102,000 year
RemoteBoston, Massachusetts, United States or Massachusetts, United States
Job Summary
Analyze the digital customer journey across marketing touchpoints, campaign engagement, and downstream outcomes to identify patterns and optimization opportunities. Assess website and campaign performance using traffic, conversion, and audience metrics, applying statistical methods like hypothesis testing, segmentation, and forecasting to translate findings into actionable recommendations. Develop and maintain dashboards, recurring reports, and self-serve views to improve decision quality and reduce manual work. Partner with stakeholders across Marketing, Digital eCommerce, Product, and Data Engineering to clarify business questions, define success metrics, and move recommendations into action. Gather, clean, and visualize data using SQL, web analytics tools, BI platforms, and scripting workflows while rigorously validating data logic and outputs before sharing.
Required Qualifications
- 6+ years of experience in marketing analytics, digital analytics, product analytics, business intelligence, data analytics, or a related analytical role
- Experience operating as an advanced individual contributor: structuring ambiguous business questions, choosing the right analytical approach, and delivering recommendations with limited guidance
- Strong understanding of digital customer journeys, including acquisition, campaign engagement, onsite behavior, conversion, retention, and performance measurement
- Demonstrated ability to apply statistical thinking and analytical rigor to business problems, including knowing when deeper statistical methods are needed and when a simpler approach is sufficient
- Strong intuition for data quality and meaningful signals, with the ability to identify anomalies, reconcile differences, validate assumptions, and recognize when the data does not support a conclusion
- Ability to develop estimates, forecasts, or feasibility sizing to help stakeholders evaluate opportunities, tradeoffs, and expected impact
- Strong stakeholder management and communication skills, including the ability to influence cross-functional partners without formal authority
- Advanced SQL, including joins, aggregations, window functions, data validation, and multi-source reconciliation
- Web analytics tools such as Adobe Analytics or Google Analytics, including segments, funnels, attribution, event behavior, and reconciliation to backend data
- BI and visualization tools such as Power BI or Tableau, including dashboard design, data modeling, metric definitions, and ongoing maintenance
- Excel or Google Sheets for analysis, modeling, pivots, lookups, visual summaries, and estimate development
- Statistical analysis and measurement methods appropriate to marketing, digital journey, experimentation, forecasting, and business feasibility questions
- Clear written, verbal, and visual communication skills, including storytelling that turns complex data into practical recommendations
- In-person onboarding and/or in-person ID verification
Desired Qualifications
- Experience with marketing measurement methods such as incrementality testing, lift studies, attribution, marketing mix modeling, A/B testing, geo experiments, or campaign-response measurement
- Experience using Python or R for analysis, automation, data preparation, statistical testing, or repeatable reporting workflows
- Experience in B2B SaaS, subscription, eCommerce, or global multi-region businesses
- Exposure to predictive modeling or advanced analytical methods such as propensity modeling, customer clustering, churn risk, campaign-response modeling, or next-best-action analysis
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