Data Analyst, Trust & Safety at Jobgether

, , Canada -

Full Time

Start Date

Immediate

Expiry Date

13 Aug, 26

Salary

0.0

Posted On

15 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Data Analytics, Business Intelligence, Looker, Mode, Metabase, Fraud Prevention, Trust & Safety, Statistical Analysis, Model Evaluation, Root-Cause Investigation, Dashboarding, Data Pipeline Collaboration, Metrics Development, Abuse Prevention, Communication

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analyst, Trust & Safety in Canada. 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. \n Accountabilities: Conduct root-cause investigations into suspicious activity, behavioral anomalies, and unexpected spikes in platform events Analyze abuse patterns, behavioral signals, and trust & safety trends to identify emerging risks and improve detection capabilities Define, track, and optimize key operational and enforcement metrics such as detection speed, false-positive rates, and policy coverage Build dashboards, reports, and monitoring systems to provide both real-time and historical visibility into platform activity and violations Evaluate the effectiveness of detection signals and analytical models, including precision, recall, overlap, and drift analysis Collaborate with data engineering teams 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 Support scalable decision-making frameworks that enhance platform safety while minimizing friction for legitimate users Requirements: 3+ years of experience in data analytics, business intelligence, trust & safety, fraud prevention, or security-related environments Strong proficiency in SQL and experience using modern BI and analytics tools such as Looker, Mode, Metabase, or similar platforms Experience working with large-scale event datasets and performing complex analytical investigations Strong understanding of metrics development, experimentation, and data-driven decision-making methodologies Familiarity with statistical concepts including estimation, sampling, validation, and analytical testing frameworks Experience evaluating predictive or classification models and understanding model performance metrics Excellent communication skills with the ability to explain analytical findings clearly to technical and non-technical audiences Strong problem-solving mindset with the ability to operate effectively in ambiguous and evolving environments Interest in online safety, abuse prevention, fraud detection, or platform integrity operations is highly valued Ability to work collaboratively in remote and cross-functional team environments Benefits: Fully remote work environment with an internationally distributed team Opportunity to join a rapidly growing technology company with a strong product and engineering culture Collaborative and supportive work environment focused on innovation, ownership, and impact Exposure to large-scale platform analytics and trust & safety operations Work alongside experienced engineers, operators, and product teams in a high-growth setting Backing from leading technology investors and startup ecosystems Flexible and modern remote-first culture with opportunities for global collaboration Career growth opportunities within a fast-scaling product organization \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Conduct root-cause investigations into suspicious activity and analyze abuse patterns to improve platform detection capabilities. Build monitoring systems and dashboards to track key safety metrics and collaborate with engineering teams to optimize data pipelines.