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Senior-level role with niche ITAM requirements but Tier-1 employer increases applicant density.
Core data engineering skills are transferable but ITAM domain knowledge increases industry specificity.
Mandatory 10+ years plus required data engineering, ITAM tools, and BI skillset enforces strict filtering.
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Analyze and segment large IT asset lifecycle datasets to deliver actionable insights for process optimization and decision-making.
Design and implement data models and ensure data governance, quality, and compliance across integrated upstream and downstream systems.
Develop and deploy AI-powered solutions using no-code and low-code platforms to enhance workflows and decision-making.
Any Graduate degree.
10+ years of experience in Data Engineering or Data Analytics.
Proficiency in data analysis tools such as SQL, Power BI, Tableau, or similar.
Experience with IT Asset Management processes, ITAM tools (e.g., ServiceNow, Flexera), data governance, and automation for data extraction and transformation.
Experienced in handling large, complex datasets with multiple data sources and system integrations in ITAM context.
Skilled in translating technical data findings into actionable insights for non-technical stakeholders.
Capable of building scalable AI-powered solutions with no-code/low-code platforms to support strategic business initiatives.