Overview:
Job Title: Datadog - Analytics Engineer
Location: Frederick, MD (Onsite)
Experience: 8-12 Years
About the Role
We are looking for a Performance Capacity Management Analyst with strong hands-on experience in Datadog and Process/Performance Capacity Management (PCM) to help monitor, analyze, and optimize business and system performance data. The ideal candidate will bridge the gap between technical monitoring data and business decision-making, delivering actionable insights through dashboards, reports, and capacity planning.
Key Responsibilities
• Design, build, and maintain Datadog dashboards, monitors, and alerts to track 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/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 (daily/weekly/monthly) 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 & Qualifications
• Bachelor's degree in Business Analytics, Computer Science, Information Systems, or related field.
• 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.
Nice-to-Have
• 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).
Soft Skills
• 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.
Email me for prompt response.
Skills:
PYTHON,AZURE,R,TABLEAU,SQL,AWS
