Dashboard Analyst (Power BI)

6 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Job Title: Dashboard Analyst

Duration: Contract/Full Time

Notice Period: Immediate to 15 Days only

Experience: 6+ years

Mode: Remote

Shift Timing: 2:30 PM - 11:30 PM


Responsibilities:

  • Dashboard Development:
  • Design, build, and implement a Cyber Operations dashboard to replace the current manual dashboard/PowerPoint reporting
  • Requirements Gathering:
  • Research and document all existing data sources, workflows, and processes used in the current reporting method
  • Automation:
  • Define what “automated” means in the context of Cyber Ops reporting
  • Develop a dashboard that automatically pulls and aggregates data from multiple cyber-related sources, including (but not limited to) firewall, endpoint, router, and vulnerability management systems
  • Incorporate automated escalation notifications, alerts, and key highlights into the dashboard
  • Data Integration and Storage:
  • Identify and configure storage for incoming data—potentially SharePoint, or other platforms as needed
  • Tooling:
  • Likely leverage Power BI (or a similar data visualization platform) to build the new dashboard
  • Knowledge Transfer and Support:
  • Provide documentation and light post-production support following go-live
  • Collaboration:
  • Work with senior engineers, cyber analysts, and leadership to ensure accuracy, usability, and long-term sustainability of the dashboard


Qualifications:

  • Experience designing dashboards and data visualizations (Power BI preferred)
  • Understanding of data flows, automation concepts, and multi-source data integration
  • Basic familiarity with cybersecurity data (firewall, endpoint, vulnerability, routing data) a plus
  • Strong analytical, problem-solving, and documentation skills
  • Ability to work independently and communicate effectively with technical and non-technical stakeholders
  • Interest in Cyber Operations and willingness to learn existing data workflows

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