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.