This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analyst, Trust & Safety in Ireland.This is an exciting opportunity to join a fast-growing technology environment focused on maintaining trust, security, and platform integrity at scale. In this role, you will work at the intersection of data analytics, abuse prevention, and operational intelligence, helping identify harmful behaviors while improving protections for legitimate users. You will play a key role in building scalable detection frameworks, monitoring critical safety metrics, and driving data-informed decisions across the organization. The position offers a highly collaborative and fast-paced environment where experimentation, investigation, and continuous improvement are encouraged. Working closely with engineering, operations, and data teams, you will contribute to systems that directly impact platform reliability and user experience. This role is ideal for someone who enjoys solving complex analytical challenges, working with large datasets, and creating meaningful operational impact through data.AccountabilitiesConduct root-cause investigations into suspicious activity, behavioral anomalies, and unexpected spikes in platform eventsAnalyze abuse patterns, behavioral signals, and trust & safety trends to identify emerging risks and improve detection capabilitiesDefine, track, and optimize key operational and enforcement metrics such as detection speed, false-positive rates, and policy coverageBuild dashboards, reports, and monitoring systems to provide both real-time and historical visibility into platform activity and violationsEvaluate the effectiveness of detection signals and analytical models, including precision, recall, overlap, and drift analysisCollaborate with data engineering teams to improve data pipelines, ensuring data quality, completeness, and freshnessPartner with operational and engineering stakeholders to test policy changes, measure outcomes, and iterate on detection strategiesSupport scalable decision-making frameworks that enhance platform safety while minimizing friction for legitimate usersRequirements3+ years of experience in data analytics, business intelligence, trust & safety, fraud prevention, or security-related environmentsStrong proficiency in SQL and experience using modern BI and analytics tools such as Looker, Mode, Metabase, or similar platformsExperience working with large-scale event datasets and performing complex analytical investigationsStrong understanding of metrics development, experimentation, and data-driven decision-making methodologiesFamiliarity with statistical concepts including estimation, sampling, validation, and analytical testing frameworksExperience evaluating predictive or classification models and understanding model performance metricsExcellent communication skills with the ability to explain analytical findings clearly to technical and non-technical audiencesStrong problem-solving mindset with the ability to operate effectively in ambiguous and evolving environmentsInterest in online safety, abuse prevention, fraud detection, or platform integrity operations is highly valuedAbility to work collaboratively in remote and cross-functional team environmentsBenefitsFully remote work environment with an internationally distributed teamOpportunity to join a rapidly growing technology company with a strong product and engineering cultureCollaborative and supportive work environment focused on innovation, ownership, and impactExposure to large-scale platform analytics and trust & safety operationsWork alongside experienced engineers, operators, and product teams in a high-growth settingBacking from leading technology investors and startup ecosystemsFlexible and modern remote-first culture with opportunities for global collaborationCareer growth opportunities within a fast-scaling product organization
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