Planner 5d

Product Analyst (Data team)

Job Description

The Senior Product Analyst will play a critical role in driving data-informed decision-making and product optimization.


Key responsibilities include:
  • Tracking Events Design and Specification: Collaborate with cross-functional teams to design and specify tracking events that capture user behavior and product interactions.
  • Tracking Events Delivery and Quality Management: Ensure accurate and timely delivery of tracking events and maintain high data quality standards.
  • Definitions of Features and Connected Tracking Events: Clearly define product features and their associated tracking events to enable comprehensive analysis.
  • Product and Feature Usage Metrics and KPIs: Develop and monitor key metrics and KPIs to measure product and feature performance.
  • Framework for Feature Usage Analysis and Insights: Create a framework for analyzing feature usage and generating actionable insights.
  • Overall Product Growth Metrics and Analysis: Track and analyze overall product growth metrics to identify trends and opportunities.
  • A/B Test Framework for Continuous Improvements: Implement and manage an A/B testing framework to facilitate data-driven experimentation and optimization.
  • Hypothesis and Experiments Documentation, Delivery, and Analysis: Document hypotheses, design and execute experiments, and analyze results to validate assumptions and inform product decisions.
  • Conduct Quantitative and Qualitative Product Research: Utilize both quantitative and qualitative research methods to gain a deep understanding of user needs and behaviors.
  • Use AI Tools and Approaches for Product Analysis: Leverage AI tools and techniques to enhance product analysis and uncover valuable insights.

    • Qualifications:
  • Strong Analytical Skills: Proven ability to collect, analyze, and interpret complex data sets.
  • Product Development Knowledge: Familiarity with product development processes and methodologies.
  • Technical Proficiency: Experience with data analysis tools such as BigQuery, Looker Data Studio, and product analytics platforms like Amplitude, Devtodev, Mixpanel, or other modern tools and frameworks.
  • AI and Machine Learning Experience: Knowledge of AI and machine learning techniques and their application in product analysis.
  • Communication and Collaboration: Excellent communication and interpersonal skills, with the ability to work effectively across teams.
  • Problem-Solving and Critical Thinking: Strong problem-solving and critical thinking skills, with a data-driven approach to decision-making.
  • Education: Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering) or equivalent experience.

    • Key Skills:
  • Data Analysis
  • Product Analytics
  • SQL
  • BigQuery
  • Looker Data Studio
  • A/B Testing
  • Experimentation
  • AI and Machine Learning
  • Communication
  • Collaboration
  • Problem-Solving

    • Additional Skills:
  • Knowledge of data visualization tools
  • Statistical modeling expertise

    • Apply Now
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