About the Company - At Swish, we’re redefining food delivery by combining speed, freshness, and delight. Our innovative platform ensures your favourite snacks and beverages arrive in just 10 minutes, transforming everyday cravings into exceptional moments. Backed by top investors like Accel and industry leaders, we’re a fast-growing early-stage startup on a mission to change how people experience food.
About the Role - As a Growth Analyst at Swish, you’ll play a critical role in scaling our growth engine. You’ll dig deep into data to uncover insights, run experiments, and collaborate with marketing, product, and ops teams to drive business outcomes. If you thrive on solving problems, making data dance, and turning numbers into action - this role is for you.
What You’ll Do -
- Retention Analytics : Understand user behavior, churn drivers and engagement loops to improve retention and repeat usage.
- Revenue & Performance Metrics : Track CAC, LTV, ROI and funnel performance to spot inefficiencies and uncover growth levers.
- Campaign Insights : Collaborate on lifecycle campaigns (email, push, in-app) and measure impact on conversions and reorders
- A / B Testing : Design experiments across product and marketing - from UX tweaks to offer strategies and drive data-backed decisions
- Cross-Team Collaboration : Work closely with growth, product and ops teams to drive high-impact initiatives
- Dashboards & Reporting : Build intuitive dashboards and reports to track KPIs and deliver insights to leadership
What You’ll Need
2–5 years of experience in growth, marketing or business analytics (preferably in B2C startups or food / e-comm)Strong command over SQL, Excel / Sheets and any BI tool (Looker, Tableau, Power BI, etc.)Solid understanding of growth metrics - CAC, LTV, funnels, retention and experience with experimentationA structured problem-solver who can translate data into clear, actionable insightsStrong communication skills - able to work across teams and present to leadershipNice to Have
Experience in food delivery, q-commerce, or high-frequency B2C productsFamiliarity with paid marketing data - Google Ads, Meta, UAC, etc.