Datadog Analytics Engineer

Prophecy Technologies

$110K — $130K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Business Analytics, Computer Science, Information Systems, or related field.
  • 8-12 years of experience in performance management and data analysis.
  • Hands-on experience with Datadog, including dashboards and log management.
  • Solid understanding of Process/Performance Capacity Management methodologies.
  • Strong analytical skills with experience in business data analysis and reporting.
  • Proficiency in Excel/SQL, familiarity with BI tools like Power BI/Tableau is a plus.
  • Excellent communication skills for technical presentations to non-technical stakeholders.

Responsibilities

  • Design, build, and maintain Datadog dashboards, monitors, and alerts for KPIs.
  • Analyze system and business performance data to identify trends and improvement opportunities.
  • Apply PCM principles for capacity forecasting and scalability planning.
  • Translate operational data into clear insights and recommendations for stakeholders.
  • Collaborate with IT Operations, Engineering, and Business teams on SLAs, SLOs, and KPIs.
  • Prepare regular reports on system health and capacity utilization.
  • Support root-cause analysis for performance issues using Datadog.

Benefits

  • Opportunity to work in a cross-functional team environment.
  • Access to professional development resources and training.
  • Engagement in data-driven decision-making processes.
  • Chance to influence business performance through analytics and capacity management.
Full Job Description
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).

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