▷ Apply in 3 Minutes : Senior Data Analyst

About Hoppa & Elife

At Hoppa & Elife, we’re unifying all ground transportation into one powerful marketplace, giving travellers the freedom to book airport transfers, ride-hailing, shared shuttles, private cars, and trains—all in one place. Trusted by over 40 million travellers in 182+ countries.

Our market is the world. Our customers are everywhere. Our platform and apps are built on the cloud. We have endless exciting problems to solve and we only use the best and latest technology.

Vision : Reliable ground transportation services globally with all types of vehicles.

Mission : Empower high-quality local fleets.

Data Analyst / Scientist

Location : India (Remote / Hybrid)

Department : Marketing

Reports to : VP Marketing (with dotted-line support to channel heads)

The Role

We’re looking for a forward-thinking Marketing Data Analyst / Scientist to join our global marketing team in India. You’ll work closely with our marketing channel heads (Paid Search, Affiliates, Owned Media, and Brand) to transform raw data into actionable insights. Your analysis will guide strategic decisions, improve ROI, boost conversions, and optimise performance across all channels.

This role is perfect for someone who is not just strong in analytics but also commercially minded—able to spot opportunities in user journeys, channel performance, and campaign data to drive measurable business growth.

Key Responsibilities

• Collect, analyse, and interpret marketing data across all channels, including paid, owned, affiliate, organic and direct – web and app.
• Build dashboards and reports in GA4, Looker Studio, Power Bi or similar tools to monitor KPIs (ROI, CPA, CLV, conversion rates, etc.).
• Analyse user journeys and on-site behaviour to provide recommendations for CRO (conversion rate optimisation).
• Partner with channel heads to deliver insights that improve campaign efficiency and budget allocation.
• Deliver forward-looking recommendations, forecasting trends, and identifying new growth opportunities.
• Ensure data integrity and consistency across multiple systems and sources.
• Present findings clearly to marketing and leadership teams, turning complex data into actionable strategies.

Skills & Experience