IT Asset Management Data Analyst
New
G
Gritter FranconaInformation Technology
District of Columbia, United States. Florida, United States. Texas, United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 6 years
- Required Skills
- PythonSQLData AnalysisMicrosoft Power BITableauMicrosoft ExcelServiceNowR
Requirements
- Bachelor’s degree.
- Minimum of 6 years of relevant experience.
- Experience performing data analysis, reporting, dashboard development, or performance measurement for IT, operations, business, or management consulting programs.
- Experience collecting, cleaning, validating, reconciling, and analyzing structured data from multiple sources.
- Experience developing reports, dashboards, data visualizations, charts, tables, and written summaries for client or leadership audiences.
- Strong analytical skills with the ability to identify trends, issues, outliers, data quality concerns, and actionable insights.
- Strong written and verbal communication skills.
- Proficiency with Microsoft Excel and Power BI.
- Experience with SQL, Tableau, Python or R, ServiceNow reporting, CMDBs, and asset repositories.
Responsibilities
- Analyze ITAM data related to hardware assets, software assets, inventory accuracy, software license compliance, asset utilization, refresh cycles, lifecycle cost, and data quality.
- Develop dashboards, reports, visualizations, and recurring data products to support program performance monitoring and leadership decision-making.
- Collect, clean, validate, reconcile, and interpret data from ITAM tools, CMDBs, ServiceNow reporting, asset repositories, spreadsheets, and other program data sources.
- Identify trends, gaps, anomalies, inconsistencies, and improvement opportunities within ITAM datasets and reporting processes.
- Support development and tracking of ITAM performance metrics, key performance indicators, compliance measures, and operational reporting requirements.
- Prepare clear summaries, charts, tables, data narratives, and briefing materials that communicate findings to technical and non-technical stakeholders.
- Support strategic planning, process optimization, governance, compliance, and audit readiness activities through quantitative analysis and data-driven insights.
- Maintain organized data files, reporting documentation, assumptions, methodologies, and quality control procedures to support repeatable analysis and traceability.
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