Marketing Data Analyst

Actively Reviewing the Applications

Cava Athleisure

India, Karnataka Full-Time On-site INR 3–4 LPA

Posted 1 hour ago • Apply by June 15, 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

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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