Lead, Growth Analyst

The role

The CRM team at Headout helps millions of travellers rediscover their next adventure. Every interaction after a user's first booking, whether it's a timely recommendation, a reactivation campaign, or a personalized post-booking journey, is an opportunity to build lasting relationships and drive repeat growth.

As a Lead, Growth Analyst, you'll help turn CRM from a sending engine into a learning system. You'll analyze user behavior, uncover growth opportunities, design experiments, measure their impact, and work cross-functionally to launch lifecycle programs that drive repeat engagement and revenue. Rather than simply executing campaigns, you'll help shape what we build next by turning data into clear business decisions.

You'll report to the Head of CRM and work closely with marketing, product, data, design, growth, and business teams. This role is based in Bengaluru, so we're looking for candidates who are either local or open to relocating.

What makes this role special?

• Help build one of Headout's biggest growth opportunities. CRM already reaches millions of users across markets, categories, and languages. You'll help build the intelligence layer that makes every interaction smarter and more impactful.
• Turn insights into action. Whether it's uncovering an underperforming cohort, improving a reactivation journey, or identifying a new growth opportunity, your work will directly influence what we build and measure next.
• Experiment with real business impact. You'll design and evaluate experiments that shape customer journeys, improve retention, and drive meaningful revenue, focusing on learning what works rather than simply shipping more campaigns.
• Work across functions, not in silos. You'll partner closely with product, marketing, data, design, and business teams, giving you visibility across the company and the opportunity to influence decisions beyond CRM.
• Use AI as a force multiplier. From research and analysis to experimentation, synthesis, and workflow automation, you'll be encouraged to use AI tools to think better, move faster, and increase your impact.
• Own problems, not just projects. We're looking for someone who spots opportunities before they're assigned, asks better questions, and helps build the playbooks that will power CRM as we scale.

What skills & experience do you need?

• You think like a problem solver. You have 1-3 years of experience in analytical roles in domains like Category Management, Consulting, Product, Data, Strategy, or similar. More importantly, you're curious and enjoy using data to solve business problems.
• You take ownership. You don't wait for someone to tell you what to analyze. You proactively identify opportunities, investigate them, and push your recommendations through to action.
• You're analytically sharp. You know how to separate meaningful signals from noise and use data to make informed decisions rather than simply reporting numbers.
• You enjoy experimentation. Whether it's designing A/B tests, evaluating holdouts, or measuring campaign performance, you're comfortable testing ideas and learning from results.
• You communicate with clarity. You can translate complex analysis into simple recommendations that help stakeholders make better decisions.
• You're AI-native. You use tools like ChatGPT, Claude, Gemini, or similar platforms to accelerate research, structure thinking, generate ideas, and improve the quality of your work.
• You thrive in fast-paced environments. You're comfortable balancing multiple initiatives, collaborating across teams, and adapting as priorities evolve.

Bonus

• You've worked in CRM, lifecycle, retention, or performance marketing.
• You have experience conducting user research or combining qualitative and quantitative insights.

What kind of problems will you solve?

Growth Marketing at Headout sits at the intersection of data, user behaviour, commercial judgment, and experimentation. Rather than executing predefined campaigns, you'll help answer some of the biggest questions shaping how millions of users engage with us after their first booking.

Some of the problems we're exploring today include:

• How do we build smarter lifecycle journeys? Some customers book once a year, while others return multiple times. How do we decide which behavioural differences deserve personalised journeys, and where does segmentation become unnecessary complexity?
• What does meaningful reactivation actually look like? A user inactive for three months isn't the same as one inactive for twelve. How do we design win-back strategies that create genuine incremental value rather than simply driving opens or relying on discounts?
• Where are the hidden growth opportunities in our data? Whether it's seasonality, language performance, city-level behaviour, post-booking intent, or underutilised customer segments, you'll uncover insights that shape what we build next.
• How do we learn faster? Every experiment is an opportunity to understand our users better. You'll help design tests, measure results objectively, and turn those learnings into scalable growth initiatives.