Data Analyst (Product Analytics)

Data Analyst (Product Analytics)

As a Data Analyst in Product Analytics, you will be the primary owner of product analytics platforms, partnering with product teams to measure success and act on insights.

Key responsibilities

• Own product analytics platforms and use data to identify trends and improvement opportunities.
• Build measurement frameworks and define success metrics for new product and feature launches.
• Maintain and extend Pendo tagging/instrumentation to ensure accurate tracking of features, pages, and user interactions.
• Evaluate qualitative AI outputs alongside quantitative data.
• Apply AI-powered analytics to support product insights.
• Manage stakeholders and communicate product usage results through reporting and data storytelling.

Requirements

• At least 3 years of experience in product analytics, data science, or a related discipline.
• Strong analytical skills to interpret complex datasets and turn findings into actionable recommendations.
• Proficiency in SQL and Python.
• Advanced experience developing and maintaining dashboards and reports.
• Experience driving data-driven decision-making with product teams (beyond report generation).
• Experience with product analytics analyses such as:
  • Customer journey mapping
  • Audience profiling/segmentation
  • Cohort analysis
  • Tag management
  • A/B testing
• Hands-on experience with product analytics platforms, including Pendo (and/or others such as Amplitude, Adobe Analytics, Google Analytics).
• Familiarity with NLP and large language models.
• Ability to implement QA/governance practices for AI-assisted analytics.
• Strong stakeholder engagement skills and ability to influence without direct authority.

Nice to have

• Hands-on experience with AI tools for analytics.