Senior Product Analyst

Posted 97ds ago

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Job Description

Product Analyst leveraging data-driven insights to influence product strategies at Wati, the leading messaging growth platform.

Responsibilities:

  • 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