Product Data Analyst

4 weeks ago

Manila, National Capital Region, Philippines magentIQ Full time
Job Summary

This is not a general data analyst or research-focused role. We are looking for someone with experience analyzing digital product usage, defining key metrics (e.g., DAU/WAU, retention, engagement), supporting A/B testing, and working with tools like Pendo, Amplitude, or Segment. Your work will directly influence roadmap prioritization, feature adoption, and customer engagement. Ideal candidates will have experience working in a SaaS or B2B tech environment and are comfortable collaborating with product managers and engineers on live digital platforms.

Key Responsibilities
  • Analyze user behavior across the product to uncover patterns, friction points, and opportunities.
  • Define, track, and report on key product metrics (e.g., activation, retention, engagement).
  • Perform deep-dive analyses on new feature adoption, A/B test results, and product experiments.
Data Modeling & Instrumentation
  • Partner with engineers and product managers to define and validate tracking requirements (e.g., event naming, tagging plans).
  • Ensure accurate data collection through tools like Segment, Pendo, Amplitude, Mixpanel, or GA.
  • Monitor data quality and work with teams to resolve inconsistencies.
Stakeholder Collaboration
  • Translate business questions into structured analyses and communicate findings clearly.
  • Create dashboards and self-serve tools to enable data access across teams.
  • Work closely with product teams to embed insights into roadmap and feature decisions.
Strategic Decision Support
  • Support product strategy with market benchmarking, customer segmentation, and cohort analyses.
  • Help prioritize product opportunities based on quantitative impact and user need.
QualificationsRequired:
  • 2+ years in a product analytics, business intelligence, or similar data role.
  • Proficiency in SQL, Python, Javascript, and experience with analytics tools (e.g., Looker, Tableau, Pendo, Amplitude).
  • Understanding of user lifecycle metrics and product analytics concepts.
  • Strong communication skills — able to clearly explain complex findings to non-technical audiences.
Preferred:
  • Hands-on experience with product analytics tools such as Pendo, Amplitude, Mixpanel, or Segment is strongly preferred
  • Experience in SaaS or B2B product environments.
  • Familiarity with A/B testing design and interpretation.
  • Exposure to event-based tracking tools (e.g., Segment, Snowplow, RudderStack).
  • Comfortable working in agile environments and partnering with cross-functional teams.

Please note this is a home based role working US hours


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