Data Analyst (Analytics)

The Data Analyst (Analytics) will:

• Transform monitoring, KPI, and operational data into visually rich dashboards, heatmaps, and executive summaries.

• Conduct trend analyses, anomaly detection, forecasting, and performance measurement across IT operations.

• Produce narrative insights that contextualize data findings for leadership decision support.

• Build standardized reporting artifacts for monthly, quarterly, and ad-hoc leadership deliverables.

• Integrate data from multiple systems including monitoring tools, ticketing systems, incident logs, and operational platforms.

• Ensure analytical outputs are accurate, repeatable, and aligned with federal reporting expectations.

• Develop templates and reusable visualization patterns for recurring reports.

• Collaborate with engineering, service desk, cybersecurity, and PMO teams to capture relevant data inputs.

• Maintain documentation for analytics logic, data definitions, and workflow processes.

Clearance Requirement

Must hold an active Secret clearance, supported by a Tier 3 background investigation.

Education (Required)

Bachelor’s degree in Communications, Data Visualization, Analytics, or a related discipline.

Experience (Required)

• Minimum 10 years of experience in data visualization, analytics, data science, or performance reporting.

• Experience producing executive-ready dashboards, heatmaps, trend reports, and analytical narratives.

• Experience translating complex datasets into interpretable visual and written insights.

• Experience integrating data from monitoring platforms, incident/ticketing tools, or IT operational systems.

Technical Knowledge (Required)

• Proficiency with data visualization tools (Power BI, Tableau, Grafana, or equivalents).

• Strong understanding of KPI modeling, trend analysis, and data transformation.

• Ability to structure analytical findings into clear written narratives and presentations.

• Experience working with SQL, data modeling, or ETL workflows.

Technical Knowledge (Preferred)

• Familiarity with scripting languages for data processing (Python, R, etc.).

• Knowledge of IT operational metrics, service desk KPIs, or monitoring system data.

• Experience within federal, DoD, or enterprise-level reporting environments.

Certifications

Required:

• ITIL v4 Foundation

Preferred:

• Additional certifications in analytics or data visualization

Skills

• Excellent analytical storytelling, with the ability to distill complex data into actionable insight.

• Strong written and visual communication skills for executive audiences.

• High attention to detail with a focus on clarity, accuracy, and consistency.

• Ability to collaborate effectively with cross-functional teams and interpret operational needs.

• Strong problem solving and critical thinking skills.