Data Analyst (Analytics)

New
D
DecisionPoint CorporationIT operations analytics
United States; This position is fully remote.Full-TimeSenior
Salary not disclosed
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Job Details

Experience
Minimum 7 years of experience in data visualization, analytics, data science, or performance reporting.
Required Skills
SQLETLMicrosoft Power BITableauGrafanaData visualizationData modeling

Requirements

  • Hold an active Secret clearance supported by a Tier 3 background investigation.
  • Have a bachelor’s degree in Communications, Data Visualization, Analytics, or a related discipline.
  • Have a minimum of 7 years of experience in data visualization, analytics, data science, or performance reporting.
  • Have experience producing executive-ready dashboards, heatmaps, trend reports, and analytical narratives.
  • Have experience translating complex datasets into interpretable visual and written insights.
  • Have experience integrating data from monitoring platforms, incident or ticketing tools, or IT operational systems.
  • Be proficient with data visualization tools such as Power BI, Tableau, Grafana, or equivalents.
  • Have a strong understanding of KPI modeling, trend analysis, and data transformation.
  • Have experience with SQL, data modeling, or ETL workflows.
  • Hold ITIL v4 Foundation certification.
  • Preferred: familiarity with Python, R, or other scripting languages for data processing.
  • Preferred: knowledge of IT operational metrics, service desk KPIs, or monitoring system data.
  • Preferred: experience in federal, DoD, or enterprise-level reporting environments.

Responsibilities

  • Transform monitoring, KPI, and operational data into 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 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.
  • Support the evolution of enterprise data visualization and analytics maturity.
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