Senior Product Analyst

🕒 December 23, 2025

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Logo of WATI

WATI

11 - 50 employees

Founded 2021

🤖 Artificial Intelligence

🔌 API

☁️ SaaS

Artificial Intelligence • API • SaaS

WATI is a company that provides a communication platform leveraging the WhatsApp Business API to enhance marketing, sales, service, and customer support automation. By integrating various functionalities such as chatbots and analytics, WATI assists businesses in scaling customer interactions efficiently. Its services include managing conversations, providing personalized content, and connecting businesses with their audience through WhatsApp, Facebook, and Instagram, making it a robust solution for companies aiming to improve customer engagement and operational efficiency across digital channels.

📋 Description

• Generate Insights and Influence data driven decision making. Some example projects: funnel analysis, user segmentation, product feature analysis, pricing optimization. • Experiment Design and hypothesis testing. • Data visualization, dashboard building, self serve dataset building for the stakeholders. • Define and formulate metrics. For example defining success metrics to measure product features or initiatives success. • Storytelling with Data: Translating analytical findings into compelling narratives that resonate with both technical and non-technical audiences. • Problem Solving and Analytical Thinking: Employing strong analytical thinking and problem-solving skills to tackle complex product-related challenges. • 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.) • Applying advanced SQL skills for querying databases, as well as utilizing programming languages such as Python or R for data analysis tasks.

🎯 Requirements

• 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. • Excellent SQL skills, experience using DBT for data modeling is a plus. • Expert in the fundamentals of product analytics including building metric trees, experimentation, user activity & retention analytics, funnels & customer segmentation. • Experience in creating impactful data visualizations using tools such as Looker Studio. • 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. • Excellent communication and presentation skills, with the ability to convey complex analytical concepts to technical and non-technical audiences. (English is a must!) • Working knowledge of Python/R is a plus

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