Wati is the world's leading WhatsApp-first conversational growth platform, empowering businesses to build deeper customer relationships and accelerate revenue growth.

Trusted and loved by over 14,000 customers across 100+ countries, Wati has established itself as the premier choice for businesses leveraging WhatsApp and other messaging channels to connect with customers on their platform of choice.

In a world where real-time interactions drive growth, Wati's story is all about business growth through conversations. At Wati, we believe that every conversation matters, whether it's engaging a first-time prospect, nurturing a qualified lead, or deepening relationships with loyal clients. We transform these conversations into opportunities for building relationships, and strong relationships lead to increased revenue.

Our Platform
The AI-native platform simplifies complex business operations by bringing all customer interactions under one intelligent roof. Designed for scalability and ease of use, our solution delivers a measurable ROI while adapting to businesses of all sizes, from emerging startups to established enterprises.

Our Backing & Partnerships
Wati is proudly backed by world-class investors including Tiger Global, Sequoia Capital, DST Global, and Shopify. As a Premium-tier Partner of Meta, Google, and WhatsApp, we maintain the highest standards of integration and platform excellence.

About the Role:

In this role, you will act as a crucial bridge between data and product strategy: analyze user behavior and product performance, using SQL, visualization tools, and product analytics platforms, to deliver actionable insights that drive product decisions. Your work directly impacts key SaaS metrics like ACV and churn/retention. You will collaborate with product managers, engineers, revenue operations, and executives, requiring strong communication and collaboration skills. The ideal candidate possesses a blend of technical proficiency, business acumen, and a proactive, independent work ethic, with a proven track record of influencing product roadmaps through data-driven analysis.

What you’ll do: 

1. Generate Insights and Influence data driven decision making. Some example projects: funnel analysis, user segmentation, product feature analysis, pricing optimization.
2. Experiment Design and hypothesis testing.
3. Data visualization, dashboard building, self serve dataset building for the stakeholders.
4. Define and formulate metrics. For example defining success metrics to measure product features or initiatives success.
5. Storytelling with Data: Translating analytical findings into compelling narratives that resonate with both technical and non-technical audiences.
6. Problem Solving and Analytical Thinking: Employing strong analytical thinking and problem-solving skills to tackle complex product-related challenges.
7. Closely working with Product Managers on product related projects, and other technical (e.g. Engineering) and non technical stakeholders (e.g. Customer Success, Sales, etc.)
8. Applying advanced SQL skills for querying databases, as well as utilizing programming languages such as Python or R for data analysis tasks.

What will make you stand out: 

1. Proactive & Independent: Adaptable, eager to learn new skills, and comfortable with ambiguity. Proactively identify opportunities to improve the product based on data analysis.
2. Strategic Product Thinking & Business Acumen: Ability to translate data into actionable insights, highlighting key takeaways and recommending specific actions. Can understand the business context and can connect data to real-world product challenges.
3. Communication & Collaboration: 

• Able to work effectively with cross-functional teams, including product managers, engineers, Revops and other members within the Data Team.  
• Present complex data in a clear and concise manner to both technical and non-technical audiences. 
• Demonstrate intellectual curiosity and a proactive approach to problem-solving. They should be able to identify key areas of inquiry and formulate insightful questions to guide their analysis.

Requirements

1. 3+ years of experience in product analysis, data analysis, or a related field, demonstrating a track record of using data to drive product strategy and decision-making. Experience in the SaaS industry is preferred.
2. Excellent SQL skills, experience using DBT for data modeling is a plus.
3. Expert in the fundamentals of product analytics including building metric trees, experimentation, user activity & retention analytics, funnels & customer segmentation.
4. Experience in creating impactful data visualizations using tools such as Looker Studio.
5. Experience working with event based tracking data for web or mobile and hands-on experience with a behavioral analytics tool e.g. Heap, MixPanel, Amplitude etc.
6. Excellent communication and presentation skills, with the ability to convey complex analytical concepts to technical and non-technical audiences. (English is a must!)
7. Working knowledge of Python/R is a plus