Senior Performance Marketing Data Analyst

Crate and Barrel; Northbrook (IL); Hybrid; USD 80,000 - 120,000; Full time

Job summary

Crate and Barrel is seeking a Senior Performance Marketing Analyst to leverage advanced analytics to influence marketing strategy. This fully remote position requires expertise in data visualization and statistical modeling.

The successful candidate will conduct extensive analysis across digital media, translate findings into actionable strategies, and develop intuitive dashboards to share insights with marketing stakeholders.

A strong background in SQL and at least 5 years of experience in media analytics is essential for this role.

Qualifications

• 5+ years of experience in a Data Analyst or Analytical role focused on media analytics.
• Proficiency in Python or R for statistical analysis.
• Experience with Data Mining and feature engineering techniques.

Responsibilities

• Conduct statistical analysis and modeling to evaluate marketing performance.
• Translate complex media data into actionable insights for stakeholders.
• Develop and maintain BI dashboards using Tableau or Power BI.
• Design and implement complex SQL queries to support ongoing data analysis.

Skills

Data Visualization Tools (Tableau, Power BI, Looker)

SQL

Statistical modeling

Data Mining

Collaboration and communication skills

Education

Bachelor's degree in Data Science, Marketing, Statistics, Business Analytics or a related field

Job description

As a Senior Performance Marketing Analyst, you will sit at the intersection of advanced analytics and modern marketing strategy, owning the transformation of complex media, customer, and business data into clear, actionable insights that directly influence how we invest, measure, and optimize our marketing efforts. You will act as a key analytical partner, focusing on media measurement, understanding ROI, incrementality, and the halo effect of our media spend across digital and physical storefronts.

This position is fully remote. This role is an Individual Contributor position.

A Day in the Life as a Senior Performance Marketing Analyst

• 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 what happened and 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.

What You'll Bring to the Table

• Expertise in Data Visualization Tools (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.

We'd Love to Hear from You If You Have

• 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.