Role OverviewAs 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 Responsibilities1. Data Integration & InfrastructureIntegrate and manage data from D2C platforms and marketplaces including Shopify, GA4, Amazon Seller Central, Flipkart, Myntra, Nykaa Fashion, Zepto, and other sales channelsConnect marketing data from platforms such as Meta Ads, Google Ads, influencer platforms, CRM tools, email/SMS tools, and inventory systemsBuild and maintain a unified marketing data layer that provides a full-funnel view of customer acquisition, engagement, conversion, and retention⸻2. Marketing Performance AnalyticsTrack and analyze performance across performance marketing, influencer marketing, organic/social, CRM, and marketplace advertisingMonitor and report key metrics including CAC, ROAS, conversion rates, funnel drop-offs, repeat purchase rate, LTV, contribution margins, payback period, and ROIOwn daily, weekly, and monthly marketing performance reporting across D2C and marketplace channels⸻3. Funnel, Cohort & Retention AnalysisPerform deep funnel analysis across website, app (if applicable), and marketplaces to identify drop-offs and optimization opportunitiesConduct cohort analysis by acquisition channel, campaign, platform, product category, and time periodAnalyze retention, repeat behavior, and frequency to support lifecycle marketing and loyalty initiatives⸻4. Audience Segmentation & Activation SupportBuild actionable audience segments such as cart abandoners, high-LTV users, repeat buyers, dormant users, first-time buyers, and campaign cohortsSupport marketing teams with data-backed audience insights for targeting, personalization, and CRM campaignsEnable smarter spend allocation by identifying high-quality audiences and underperforming segments⸻5. Marketplace-Specific AnalyticsAnalyze marketplace-specific metrics including:Listing performance and visibilityAd efficiency (ROAS, TACoS, organic vs paid lift)Pricing, discounting, and availability impactStock-out and fill-rate analysisCompetitor 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⸻6. Experimentation & OptimizationSupport experimentation across landing pages, PDPs, creatives, checkout flows, pricing, promotions, and campaignsDefine experiment success metrics and analyze test results to guide optimization decisionsHelp marketing teams move from intuition-led to experiment-led decision making⸻7. Dashboards, Reporting & Stakeholder EnablementBuild and maintain automated dashboards for marketing, finance, and leadership teamsTranslate complex data into clear, actionable insights and recommendationsAct as a thought partner to marketing manager in budget planning, forecasting, and growth strategy⸻8. Data Quality & GovernanceEnsure clean, reliable, and timely data through automation, validation checks, and documentationIdentify gaps in tracking, attribution, and data consistency and proactively fix themContinuously improve data processes as the business scales⸻RequirementsExperience & Skills2+ years of experience as a data analyst in D2C, e-commerce brands, marketplacesStrong hands-on experience with GA4, including event tracking, funnels, and attributionProficiency in SQL and strong working knowledge of Excel / Google SheetsWorking experience with Python for analysis, automation, or ETL is preferredExperience with data warehousing and BI tools such as BigQuery, Looker, Tableau, or Power BI⸻Marketing & Business UnderstandingFamiliarity with marketing platforms including Meta Ads, Google Ads, Shopify, CRM tools, and marketplace ad platformsStrong understanding of D2C and marketplace marketing metrics including CAC, ROAS, LTV, cohorts, funnels, retention, and contribution marginsComfort working with performance, influencer, social, CRM, design, and marketplace teams
Job Title
Marketing Data Analyst