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Open nowPosted 514 days ago

Data Analyst

Green Trees193 open roles

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Your applicationOpen nowData AnalystGreen Trees

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. Green Trees postings stay open a median of 24 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 514 days ago

Green Trees median: 24 days open

The posting

Data Analyst

## Company Overview At Drizzle, we’re on a mission to make wellness fizzy, fun, and functional. Our zero-sugar, low-calorie, probiotic sparkling beverages are designed for the modern Indian who craves great taste without compromise. As a digital-first beverage brand, data is central to how we grow, optimize, and delight our customers.

## Job Summary As a Data Analyst at Drizzle, you will transform data into actionable insights that drive business growth and enhance customer experience. You will collaborate closely with sales, marketing, and direct-to-consumer (D2C) teams to analyze various metrics, optimize campaigns, and inform strategic decisions. Your analytical expertise will play a pivotal role in helping us scale smarter and faster.

## Responsibilities - Track and analyze sales performance across platforms such as the D2C website, Amazon, Blinkit, and Zepto. - Monitor key performance indicators (KPIs) including revenue, average order value (AOV), conversion rate, cart abandonment, customer lifetime value (LTV), and repeat rate. - Build dashboards and automated reports for leadership to monitor performance in real time. - Analyze paid advertising campaigns (Meta, Google, Influencer) for return on ad spend (ROAS), customer acquisition cost (CAC), and engagement. - Segment audiences to improve targeting and personalization strategies. - Work with the marketing team to run A/B tests and optimize content, creatives, and offers. - Map and analyze the user journey across channels, from discovery to conversion. - Identify churn patterns and provide insights for email/SMS retargeting campaigns. - Help shape customer personas and product-market fit through cohort and funnel analysis. - Provide actionable insights from cross-functional datasets (sales, CRM, inventory). - Use predictive analytics to forecast demand and optimize inventory planning. - Collaborate with cross-functional teams to support informed decision-making.

## Qualifications - Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related field. - Strong analytical and quantitative skills with a passion for data-driven decision-making. - Proficiency in data analysis tools such as Microsoft Excel, Google Sheets, or similar. - Experience with business intelligence (BI) tools like Tableau, Power BI, or Google Data Studio (preferred). - Familiarity with SQL or other data querying languages is a plus. - Understanding of eCommerce KPIs and digital marketing metrics. - Excellent communication skills and ability to present insights to non-technical stakeholders. - Strong attention to detail and organizational skills.

## Preferred Skills - Experience with eCommerce analytics platforms (e.g., Shopify, Amazon Analytics). - Knowledge of digital marketing and campaign analysis. - Familiarity with customer relationship management (CRM) systems. - Experience with A/B testing and audience segmentation. - Exposure to predictive analytics and machine learning concepts. - Ability to handle large datasets and derive actionable insights.

## Experience - Minimum Experience: 0 years (open to freshers, interns, and early-career professionals). - Relevant experience in data analysis, eCommerce, marketing analytics, or business intelligence is a plus.

## Environment - Work Location: Not specified (please inquire during the interview process). - Role Type: Internship or contractual. - Work Setting: Digital-first, collaborative, and cross-functional environment. - Start Date: Immediately.

## Salary - Estimated salary range: ₹20,000 – ₹100,000 per month (depending on skills and experience).

## GrowthOpportunities - Potential to convert to a full-time role based on performance. - Opportunity to work closely with leadership and cross-functional teams. - Exposure to the fast-growing wellness and D2C (direct-to-consumer) beverage industry. - Access to professional development and learning resources.

## Benefits - Not explicitly specified; details to be discussed during the interview process.

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