Marketing Data Analyst
Cava Athleisure
0 - 3 years
Bengaluru
Posted: 20/02/2026
Job Description
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
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
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
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
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
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
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
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
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
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
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