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Marketing Data Analyst

Cava Athleisure

0 - 3 years

Bengaluru

Posted: 20/02/2026

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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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