Crate & Barrel inspires purpose-filled living through beautifully designed home furnishings. They are seeking a Senior Performance Marketing Data Analyst to transform complex data into actionable insights that optimize marketing strategies and investments.
Responsibilities:
- Conduct in‑depth statistical analysis and modeling to evaluate marketing performance, ROI, incrementality, and cross‑channel halo effects across Search, Social, Streaming/CTV, and Display
- Translate complex media and campaign data into clear, actionable narratives for marketing stakeholders and leadership, explaining not just what happened, but why it matters for the business
- Leverage data to provide strategic reporting on budget allocation across Search, Social, Streaming/CTV, and Display to maximize return, utilizing advanced measurement tools including Media Mix Modeling (MMM) and incrementality testing
- Own the development and maintenance of intuitive BI dashboards (Tableau/PowerBI) that allow marketing teams to self-serve insights and monitor campaign performance in real-time
- Partner with Data Engineering to ensure data pipelines, tracking, and attribution logic meet analytical requirements
- Design, implement, and optimize complex SQL queries and data structures (views, analytical tables) to efficiently support ongoing data analysis and analytical model development
- Work closely with media teams, data engineers, and marketing leaders to deeply understand analytical requirements and translate them into precise data methodologies
- Drive personal and team growth by actively tracking industry trends and new statistical/analytical methods, and proactively engaging in learning activities to elevate technical expertise
- Proactively identify shifts in the digital media privacy and tracking landscape, proposing new methodologies to ensure our measurement remains robust
Requirements:
- Expertise in Data Visualization Tools (e.g., Tableau, Power BI, Looker) for advanced dashboard development and effective analytical storytelling
- Ability to design and develop sophisticated data visualizations and interactive dashboards that clearly communicate analytical findings
- In-depth knowledge of Data Analysis Principles, statistical modeling (including Media Mix Modeling), hypothesis testing, and data warehousing concepts
- Deep understanding of the ad-tech/mar-tech ecosystem, including media platforms, site measurement, and tracking methodologies (Meta, Google, GA4, Adobe Analytics, CM360, GSC, etc.)
- Proficiency in SQL for complex data querying, manipulation, and optimization of joins and database performance
- Proven experience with Data Mining and feature engineering techniques for extracting complex patterns from large datasets, preferably using Python or R
- Excellent collaboration, influence, and communication skills, with the ability to effectively present complex data findings and recommendations to diverse audiences
- 5+ years of professional experience in a hands-on Data Analyst or Analytical role, with proven experience in media analytics, marketing science, or analytical consulting
- Bachelor's degree in Data Science, Marketing, Statistics, Business Analytics or a related field (or equivalent practical experience)
- Proven experience in designing and implementing complex data analytics projects and models successfully in an agile environment
- Proficiency in at least one statistical programming language (Python or R) used for advanced analysis