Datadog Analytics Engineer

Role Overview:We are seeking a Performance Capacity Management Analyst with strong hands-on experience in Datadog and Process/Performance Capacity Management (PCM). This role involves monitoring, analyzing, and optimizing business and system performance data, bridging technical monitoring with business decision-making to deliver actionable insights through dashboards, reports, and capacity planning.Key Responsibilities: Design, build, and maintain Datadog dashboards, monitors, and alerts for tracking application, infrastructure, and business KPIs. Analyze system and business performance data to identify trends, anomalies, and improvement opportunities. Apply PCM principles to forecast capacity needs, manage performance baselines, and support scalability planning. Translate raw operational and business data into clear insights and recommendations for stakeholders. Collaborate with IT Operations, Engineering, and Business teams to define SLAs, SLOs, and KPIs. Prepare regular reports on system health, business metrics, and capacity utilization. Support root-cause analysis for performance issues using Datadog logs, APM, and traces. Recommend process improvements based on data-driven insights. Maintain documentation for monitoring standards, PCM processes, and reporting frameworks. Required Skills:Hands-on experience with Datadog (dashboards, monitors, APM, log management, alerting). Solid understanding of Process/Performance Capacity Management methodologies. Strong analytical skills with experience in business data analysis and reporting. Proficiency in Excel/SQL; experience with BI tools (Power BI/Tableau) is a plus. Familiarity with ITIL / IT Service Management practices (preferred). Excellent communication skills to present technical data to non-technical stakeholders. Ability to work cross-functionally with Engineering, Operations, and Business teams. Strong problem-solving and analytical mindset. Detail-oriented with the ability to manage multiple priorities. Proactive communicator who can work independently and in a team. Qualifications:Bachelor's degree in Business Analytics, Computer Science, Information Systems, or related field. 8-12 years of experience. Preferred Skills:Experience with cloud platforms (AWS/Azure/GCP) monitoring integrations. Exposure to capacity forecasting tools or scripting (Python/R) for data analysis. Certifications in Datadog, ITIL, or Business Analysis (CBAP/CCBA).