Data Analyst, Trust & Safety

About the role

This position offers the chance to join a fast‑growing technology environment in Ireland, focused on maintaining trust, security and platform integrity at scale. You will work at the intersection of data analytics, abuse prevention and operational intelligence, helping to identify harmful behaviours while protecting legitimate users.

Key responsibilities

• Conduct root‑cause investigations into suspicious activity, behavioural anomalies and unexpected spikes in platform events.
• Analyze abuse patterns, behavioural signals and trust & safety trends to surface emerging risks and improve detection capabilities.
• Define, track and optimise operational and enforcement metrics such as detection speed, false‑positive rates and policy coverage.
• Build dashboards, reports and monitoring systems that provide real‑time and historical visibility into platform activity and violations.
• Evaluate detection signals and analytical models, assessing precision, recall, overlap and drift.
• Collaborate with data engineering to improve data pipelines, ensuring data quality, completeness and freshness.
• Partner with operational and engineering stakeholders to test policy changes, measure outcomes and iterate on detection strategies.

Required profile

• 3+ years of experience in data analytics, business intelligence, trust & safety, fraud prevention or related security environments.
• Strong proficiency in SQL and experience with modern BI/analytics tools (e.g., Looker, Mode, Metabase).
• Experience working with large‑scale event datasets and performing complex analytical investigations.
• Solid understanding of metric development, experimentation and data‑driven decision‑making.
• Familiarity with statistical concepts such as estimation, sampling, validation and analytical testing frameworks.
• Experience evaluating predictive or classification models and interpreting performance metrics.
• Excellent communication skills, able to explain analytical findings to both technical and non‑technical audiences.

Required skills

• SQL
• Looker
• Mode
• Metabase