Data Analyst

CAVA Athleisure Pvt Ltd

Bengaluru2 yrs - 4 yrs expNot SpecifiedIn Office7 - 8 LPA

Posted 1 month ago

Analytical ThinkingProblem SolvingDashboard CreationReport DevelopmentPredictive ModelingData Visualization Tools

We are seeking a highly analytical and detail-oriented Data Analyst with experience in D2C, e-commerce, or marketplace businesses. The ideal candidate will have strong expertise in marketing analytics, business intelligence, SQL, GA4, and dashboarding tools. This role will be responsible for building a unified data ecosystem, tracking business performance, identifying growth opportunities, and enabling data-driven decisions across multiple business functions.


Key Responsibilities


1. Data Integration & Infrastructure

  1. Integrate and manage data from Shopify, Amazon Seller Central, Flipkart, Myntra, Nykaa Fashion, Zepto, and other sales channels.
  2. Connect marketing data from GA4, Meta Ads, Google Ads, CRM platforms, influencer tools, email/SMS platforms, and inventory systems.
  3. Build and maintain a unified marketing data layer providing complete visibility into customer acquisition, engagement, conversion, and retention.
  4. Improve data automation and streamline reporting processes.


2. Marketing Performance Analytics

  1. Track and analyze performance across Performance Marketing, Influencer Marketing, CRM, Organic/Social Media, and Marketplace Advertising.
  2. Monitor and report key business metrics including:
  3. Customer Acquisition Cost (CAC)
  4. Return on Ad Spend (ROAS)
  5. Conversion Rate
  6. Customer Lifetime Value (LTV)
  7. Contribution Margin
  8. Repeat Purchase Rate
  9. Marketing ROI
  10. Payback Period
  11. Prepare daily, weekly, and monthly business performance reports for stakeholders.


3. Funnel, Cohort & Retention Analysis

  1. Perform website and marketplace funnel analysis to identify conversion bottlenecks.
  2. Conduct cohort analysis based on acquisition channel, campaign, product category, platform, and purchase period.
  3. Analyze customer retention, repeat purchases, buying frequency, and lifecycle performance.
  4. Recommend strategies to improve customer engagement and retention.


4. Customer Segmentation & CRM Analytics

  1. Build actionable customer segments such as:
  2. High-LTV Customers
  3. Repeat Buyers
  4. Cart Abandoners
  5. Dormant Customers
  6. First-Time Buyers
  7. Campaign Cohorts
  8. Support CRM and marketing teams with audience insights for targeted campaigns and personalization.
  9. Help optimize marketing spend through data-driven audience selection.


5. Marketplace Analytics

  1. Analyze marketplace performance including:
  2. Product Listing Performance
  3. Advertising Efficiency (ROAS & TACoS)
  4. Pricing & Discount Impact
  5. Inventory Availability
  6. Stock-Out Analysis
  7. Fill Rate
  8. Organic vs Paid Sales Performance
  9. Monitor competitor activity and identify market opportunities.
  10. Collaborate with marketplace and supply chain teams to improve sales performance.


6. Experimentation & Optimization

  1. Support A/B testing across:
  2. Landing Pages
  3. Product Detail Pages (PDPs)
  4. Checkout Flow
  5. Creative Assets
  6. Promotions
  7. Pricing Strategies
  8. Define success metrics and analyze experiment outcomes.
  9. Drive continuous optimization through data-backed recommendations.


7. Dashboards & Business Reporting

  1. Build and maintain automated dashboards using BigQuery, Looker, Tableau, or Power BI.
  2. Translate complex datasets into clear, actionable insights.
  3. Support leadership with forecasting, budgeting, and strategic planning.
  4. Present business performance to cross-functional stakeholders.


8. Data Quality & Governance

  1. Ensure data accuracy, consistency, and reliability.
  2. Develop validation checks and automate data quality monitoring.
  3. Identify gaps in tracking, attribution, and reporting.
  4. Maintain proper documentation for reporting processes.


Required Skills & Qualifications

Experience

  1. 2+ years of experience as a Data Analyst in D2C, E-commerce, Retail, or Marketplace businesses.
  2. Strong hands-on experience with Google Analytics 4 (GA4), including event tracking, funnel analysis, and attribution.
  3. Advanced SQL skills.
  4. Excellent knowledge of Microsoft Excel / Google Sheets.
  5. Working knowledge of Python for automation, ETL, or data analysis is preferred.
  6. Experience with BigQuery, Looker, Tableau, or Power BI.


Business & Marketing Knowledge

  1. Strong understanding of:
  2. Customer Acquisition Cost (CAC)
  3. ROAS
  4. Customer Lifetime Value (LTV)
  5. Funnel Analysis
  6. Cohort Analysis
  7. Retention Metrics
  8. Contribution Margins
  9. Marketing Attribution
  10. Familiarity with Shopify, Meta Ads, Google Ads, CRM platforms, and Marketplace Advertising.
  11. Excellent analytical, communication, and stakeholder management skills.