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Product Data Analyst

Posted 1 hour 32 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).