Talent Inc.

Data Analyst

• Identify growth opportunities and business problems, quantify impact, and help prioritize what to build next.
• Own analytics projects end-to-end: requirements → implementation → rollout → stakeholder adoption.
• Build and expand KPI reporting: define missing metrics, create dashboards, and measure new feature impact.
• Build and maintain the analytics stack: connect data sources, manage ELT/pipelines, and develop dbt models/marts.
• Investigate metric drops/spikes, find root causes, and turn findings into actionable recommendations.
• Product & marketing analytics: analyze funnels, activation/retention, feature performance, plus acquisition channels, attribution, and campaign performance.
• Ensure data reliability by implementing tests, monitoring, and documentation.
• Support experimentation: partner with the Product team to design experiments, monitor results, and evaluate impact.