Reporting & Insights Analyst, Account & Youth Safety - Trust & Safety

acy, and user safety outcomes.

You will be responsible for building and automating dashboards, developing robust data pipelines, and performing deep-dive analyses that uncover performance drivers and root causes. The ideal candidate thrives in a fast-paced, data-rich environment, demonstrates strong ownership, and has the technical ability to streamline reporting through automation and scalable analytics solutions.

You will collaborate closely with global stakeholders across Operations, Policy, Product, and Data Science to ensure that data is accurate, accessible, and aligned with business goals. Your work will directly influence leadership decisions, operational strategy, and process improvement initiatives.

• Build and automate dashboards, reports, and pipelines using SQL, Python, and internal BI tools.
• Monitor key operational metrics (AHT, SLA, accuracy, utilisation, volume trends) and investigate anomalies.
• Conduct deep-dive analyses and RCAs to uncover performance drivers and improvement opportunities.
• Enhance data infrastructure and reliability in collaboration with Data Engineering and Data Science.
• Standardise KPI definitions and ensure consistent metric alignment across regions and programs.
• Support leadership and front line teams with actionable insights, visualisations, and data-driven recommendations.
• Measure the impact of new policies, tools, and workflows through pre/post analysis.
• Automate recurring reporting tasks to reduce manual workload.
• Identify and implement advanced analytics or predictive models to drive proactive performance improvement.

Qualifications

Minimum Qualifications:

• 3+ years of experience in data analysis, reporting, or business intelligence (preferably in large-scale operations or trust & safety environments).
• Strong proficiency in SQL and experience with large, complex datasets.
• Practical experience with Python or R for automation and analytical tasks.
• Skilled in building dashboards and visualisations using BI tools (e.g., Tableau, Power BI, VChart, or similar).
• Proven ability to translate complex data into clear, actionable insights for non-technical stakeholders.
• Strong understanding of KPI frameworks, performance monitoring, and root cause analysis.
• Excellent problem-solving, critical thinking, and communication skills.

Preferred Qualifications:

• Experience working cross-functionally with Operations, Product, or Data Engineering teams.
• Ability to manage multiple priorities in a fast-paced, data-driven environment.
• Bachelor's degree in Data Analytics, Statistics, Computer Science, Economics, or a related field.