Marketing Data Analyst Full Time

Role Overview

As a Data Analyst for Marketing at Cava Athleisure, you will play a critical role in enabling data-driven growth across our direct and third-party sales channels. This role sits at the intersection of marketing, marketplaces, and business strategy, with ownership of turning complex, multi-source data into clear insights that directly influence spend efficiency, conversion, retention, and scale.

Key Responsibilities

1. Data Integration & Infrastructure

• Integrate and manage data from D2C platforms and marketplaces including Shopify, GA4, Amazon Seller Central, Flipkart, Myntra, Nykaa Fashion, Zepto, and other sales channels
• Connect marketing data from platforms such as Meta Ads, Google Ads, influencer platforms, CRM tools, email/SMS tools, and inventory systems
• Build and maintain a unified marketing data layer that provides a full-funnel view of customer acquisition, engagement, conversion, and retention

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2. Marketing Performance Analytics

• Track and analyze performance across performance marketing, influencer marketing, organic/social, CRM, and marketplace advertising
• Monitor and report key metrics including CAC, ROAS, conversion rates, funnel drop-offs, repeat purchase rate, LTV, contribution margins, payback period, and ROI
• Own daily, weekly, and monthly marketing performance reporting across D2C and marketplace channels

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3. Funnel, Cohort & Retention Analysis

• Perform deep funnel analysis across website, app (if applicable), and marketplaces to identify drop-offs and optimization opportunities
• Conduct cohort analysis by acquisition channel, campaign, platform, product category, and time period
• Analyze retention, repeat behavior, and frequency to support lifecycle marketing and loyalty initiatives

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4. Audience Segmentation & Activation Support

• Build actionable audience segments such as cart abandoners, high-LTV users, repeat buyers, dormant users, first-time buyers, and campaign cohorts
• Support marketing teams with data-backed audience insights for targeting, personalization, and CRM campaigns
• Enable smarter spend allocation by identifying high-quality audiences and underperforming segments

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5. Marketplace-Specific Analytics

• Analyze marketplace-specific metrics including:
• Listing performance and visibility
• Ad efficiency (ROAS, TACoS, organic vs paid lift)
• Pricing, discounting, and availability impact
• Stock-out and fill-rate analysis
• Competitor benchmarking and share-of-voice
• Regularly track competitor activity online and derive insights for marketing strategy.
• Partner with marketplace and supply teams to improve availability-led revenue and ad efficiency

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6. Experimentation & Optimization

• Support experimentation across landing pages, PDPs, creatives, checkout flows, pricing, promotions, and campaigns
• Define experiment success metrics and analyze test results to guide optimization decisions
• Help marketing teams move from intuition-led to experiment-led decision making

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7. Dashboards, Reporting & Stakeholder Enablement

• Build and maintain automated dashboards for marketing, finance, and leadership teams
• Translate complex data into clear, actionable insights and recommendations
• Act as a thought partner to marketing manager in budget planning, forecasting, and growth strategy

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8. Data Quality & Governance

• Ensure clean, reliable, and timely data through automation, validation checks, and documentation
• Identify gaps in tracking, attribution, and data consistency and proactively fix them
• Continuously improve data processes as the business scales

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Requirements

Experience & Skills

• 2+ years of experience as a data analyst in D2C, e-commerce brands, marketplaces
• Strong hands-on experience with GA4, including event tracking, funnels, and attribution
• Proficiency in SQL and strong working knowledge of Excel / Google Sheets
• Working experience with Python for analysis, automation, or ETL is preferred
• Experience with data warehousing and BI tools such as BigQuery, Looker, Tableau, or Power BI

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Marketing & Business Understanding

• Familiarity with marketing platforms including Meta Ads, Google Ads, Shopify, CRM tools, and marketplace ad platforms
• Strong understanding of D2C and marketplace marketing metrics including CAC, ROAS, LTV, cohorts, funnels, retention, and contribution margins
• Comfort working with performance, influencer, social, CRM, design, and marketplace teams