ServiceNow Performance Analytics Developer

ServiceNow is a global platform widely used to manage enterprise service processes and digital workflows. This role focuses on designing, configuring, and implementing advanced analytical and reporting solutions within ServiceNow.

• Deep knowledge of ServiceNow Performance Analytics and Reporting modules.
• Hands-on experience with indicators, breakdowns, widgets, and scorecards.
• Familiarity with scripting and automation using JavaScript and Flow Designer.
• Strong understanding of data structures, CMDB relationships, and KPI frameworks.
• Excellent analytical thinking and ability to translate data into actionable insights.
• Effective communication and collaboration skills with business and technical teams.
• At least 3–5 years of ServiceNow implementation and development experience.
• Proven experience in Performance Analytics configuration and dashboard development.
• ServiceNow CAD or CSA certification (Performance Analytics certification preferred).
• Strong understanding of data governance and reporting best practices.
• Experience with large datasets and optimizing dashboard performance.
• English (C1/C2) or other European languages would be an advantage but not mandatory.
• A Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• Experience with external BI or visualization tools such as Power BI or Tableau.

• Develop and configure ServiceNow Performance Analytics (PA) indicators, widgets, and dashboards across modules such as ITSM, CSM, HRSD, and ITOM.
• Collaborate with stakeholders to gather reporting and analytics requirements and translate them into scalable PA solutions.
• Create and maintain data collectors, breakdowns, and automated data collection jobs.
• Design and implement dashboards visualizing operational and strategic KPIs for different business areas.
• Optimize performance of analytics solutions to ensure responsiveness and accuracy.
• Integrate Performance Analytics with ServiceNow Reporting, CMDB, and external data sources when needed.
• Ensure consistency, data integrity, and governance across all analytics deliverables.
• Provide technical documentation, training, and post-implementation support for analytics solutions.