Marketing Data Analyst

Cavaathleisure; Bengaluru; On-site; INR 800,000 - 1,400,000; Full time

Job summary

Cavaathleisure in Bengaluru, India seeks a data analyst to unify marketing data, track performance and enable data-driven decisions across D2C and marketplaces. You will build dashboards, perform funnel and retention analysis, and support audience activation with actionable insights.

The role requires strong GA4, SQL, Python and BI tool experience, plus familiarity with marketing platforms. Join a fast-growing D2C brand and influence marketing strategy.

Qualifications

• 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.
• Python for analysis, automation, or ETL is preferred.
• Experience with data warehousing and BI tools such as BigQuery, Looker, Tableau, or Power BI.
• 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.

Responsibilities

• Integrate data from D2C platforms and marketplaces including Shopify, GA4, Amazon, Flipkart, Myntra, Nykaa, Zepto and other channels.
• Connect marketing data from Meta Ads, Google Ads, CRMs, email/SMS tools, and inventory systems.
• Build a unified marketing data layer providing a full-funnel view of acquisition, engagement, conversion and retention.
• Track performance across performance marketing, influencer marketing, organic/social, CRM and marketplace ads.
• Monitor CAC, ROAS, conversion rates, funnel drop-offs, repeat purchase rate, LTV, contribution margins, payback and ROI.
• Own daily, weekly and monthly marketing performance reporting across D2C and marketplace channels.
• Perform funnel, cohort and retention analysis across website, app and marketplaces to identify 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.
• Build audience segments such as cart abandoners, high-LTV users, repeat buyers, dormant users, first-time buyers and cohorts.
• Support marketing with data-backed audience insights for targeting, personalization and CRM campaigns.
• Enable smarter spend allocation by identifying high-quality audiences and underperforming segments.
• Analyze marketplace metrics including listing performance, ad efficiency, pricing, stock-out and share-of-voice.
• Track competitor activity and derive insights for marketing strategy.
• Partner with marketplace and supply teams to improve availability-led revenue and ad efficiency.
• Support experimentation across landing pages, PDPs, creatives, checkout flows, pricing, promotions and campaigns.
• Define experiment success metrics and analyze results to guide optimization decisions.
• Help marketing move from intuition-led to experiment-led decision making.
• Build and maintain automated dashboards for marketing, finance and leadership teams.
• Translate complex data into clear, actionable insights and recommendations.
• Act as thought partner to marketing manager in budget planning, forecasting and growth strategy.
• 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.

Skills

GA4 & event tracking

SQL

Excel / Google Sheets

Python for analysis

Data warehousing concepts

Tools

BigQuery

Looker

Tableau

Power BI

Job description

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