Senior Marketing Data Analyst

1. Own Marketing Reporting and Performance Measurement
• Build and maintain accurate, accessible, and intuitive dashboards and reporting tools for marketing KPIs (CAC, LTV, ROAS, retention, etc.).
• Define and evolve performance metrics that guide decision-making across paid media, CRM, and organic channels.
• Standardize recurring reports and develop scalable processes to support channel owners, leadership, and cross-functional teams.
2. Lead High-Impact Ad Hoc and Exploratory Analysis
• Manage incoming ad hoc analysis requests, prioritizing high-leverage work that supports acquisition, retention, and revenue growth.
• Investigate marketing trends, channel performance, campaign anomalies, and customer behavior using SQL, Python, and visualization tools.
• Partner with Marketing and Finance to build models for forecasting, budget pacing, and strategic scenario planning.
3. Enable Data Driven Marketing Strategy
• Collaborate with channel leads to analyze A/B tests, identify optimization opportunities, and translate insights into marketing strategy.
• Own marketing attribution methodologies and continuously refine how we understand and communicate marketing impact.
• Support lifecycle marketing, personalization, and segmentation efforts with clean, reliable performance data.
4. Act as the Analytics Partner for Marketing
• Proactively align with stakeholders to anticipate data needs, define success metrics, and ensure analytics is driving forward-looking strategy with business partners across Marketing, Product, and Merchandising, becoming their go to partner for understanding performance and growth opportunities.
• Champion clarity in metric definitions, data literacy, and marketing data quality across the organization.
• Proactively identify areas where analytics can improve decision-making or uncover new opportunities for growth.
• Own analytics related to the Customer Data Platform (CDP), acting as the key link between the analytics and marketing teams to ensure segments, journeys, and audience strategies are backed by meaningful, measurable insights.

Qualifications

• 5+ years of experience in marketing, product, or business analytics:  You’ve spent several years digging into marketing performance, building dashboards, and helping teams make smarter decisions with data.
• Deep familiarity with digital marketing channels and funnel analysis:  You’ve worked with paid search, paid social, email, SEO. You know how to break down customer behavior, spot what’s working, and where people drop off.
• Comfortable with SQL and data tools: SQL is second nature to you, and you’re comfortable using tools like Looker, Sigma, or Power BI to create clean, useful dashboards. Experience with Python or R is great but not required.
• You understand testing, cohorts, and order attribution:  Whether it’s A/B tests, cohort analysis, or marketing attribution models, you’ve used these frameworks to evaluate performance and guide decisions.
• You know the DTC world:  You’ve worked in ecommerce and understand key metrics like CAC, LTV, ROAS, and retention. You’ve likely spent time in tools like Shopify, CDPs, Google Analytics / Heap, or Meta Ads Manager data.
• You think like a business partner, not just an analyst:  You don’t just pull numbers, you connect your work to business goals. You know how to explain what the data means and what should happen next.
• Strong communicator and collaborator:  You’re used to working with marketing, merchandising, and product teams, and you know how to tailor your message depending on the audience.  You have experience working with teams based in the United States and understand the importance of clear communication with teams on 12-hr timezone difference.
• Self-starter who thrives in fast-moving environments:  You don’t wait for perfect clarity - you figure things out, stay flexible, and jump on opportunities to make things better before someone even asks.