Product Data Analyst

Posted 2 hours 45 minutes ago by Jobtailor

Permanent
Full Time
I.T. & Communications Jobs
Not Specified, Ireland
Job Description
Responsibilities
  • Partner with Product Managers and teams to define success metrics, instrument features, and measure the impact of product changes and releases.
  • Build and maintain Looker dashboards and explores that surface product usage, engagement, retention, and funnel metrics to stakeholders across the business.
  • Conduct deep-dive analyses on user behaviour, feature adoption, and churn signals to surface actionable insights that inform product roadmap decisions.
  • Define and maintain a product metrics framework, ensuring consistency in how KPIs are measured and reported across teams.
  • Support A/B testing and experimentation, helping teams design experiments, interpret results, and make statistically sound decisions.
  • Collaborate with Data Engineering to ensure the right events and data points are captured, pipelines are reliable, and the data model supports product analytics needs.
  • Proactively monitor product metrics, flagging anomalies, trends, and opportunities to the relevant teams.
  • Contribute to data literacy across product teams, coaching team members on self-serve analytics, dashboard use, and metric interpretation.
  • Support ad hoc analytical requests from product and leadership, delivering timely and rigorous analysis.
Requirements
  • 3+ years of experience in data analytics, ideally with some of that time in a product analytics context or working directly alongside a product team.
  • Strong proficiency in SQL, with the ability to write complex queries across large datasets.
  • Hands on experience with Looker (LookML, dashboards, explores) - a core requirement for this role.
  • Solid understanding of the product development lifecycle and how data fits into agile ways of working.
  • Strong data visualisation and communication skills - you can tell a clear story with data for both technical and non-technical audiences.
  • Analytical mindset with strong attention to detail and a rigorous approach to data accuracy.
  • Self starter who can manage competing priorities and work independently in a fast moving environment.
  • Experience in the hair & beauty industry or a vertical SaaS business serving SMEs (preferred).
  • Experience with Python or R for more advanced analysis (preferred).