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

Responsibilities

About the Team
The Reports & Insights (R&I) team is the analytical backbone of the Trust & Safety organisation, supporting the Account & Youth Safety (AYS) pillar globally. We combine deep operational understanding with strong technical capability to turn complex datasets into clear, actionable insights that drive performance improvement. We partner closely with Operations, Policy, Product, Data Science to optimise processes, surface root causes, and build scalable data solutions that improve efficiency, accuracy, and user safety.

The Reports & Insights (R&I) Analyst plays a key role in driving data-informed decision-making across the Trust & Safety - Account & Youth Safety organisation. This role blends technical analytics expertise with business understanding to transform large operational datasets into actionable insights that improve efficiency, accuracy, 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.