- Analyze and segment large datasets related to IT asset lifecycle, ensuring accuracy and relevance.

- Design and implement data models that capture relationships between upstream and downstream systems.

- Collaborate with upstream and downstream application teams to understand data dependencies and integration points.

- Identify trends, anomalies, and opportunities for process improvement across the asset lifecycle.

- Ensure data governance, quality, and compliance standards are maintained throughout analysis.

- Support strategic initiatives by providing predictive and prescriptive analytics.

Required Skills & Qualifications :

- Strong proficiency in data analysis tools (e.g., SQL, Power BI, Tableau, or similar).

- Experience working with large, complex datasets and multiple data sources.

- Understanding of IT Asset Management processes and lifecycle concepts.

- Familiarity with upstream/downstream system integrations and data flows.

- Excellent problem-solving skills and ability to translate data into actionable insights.

- Strong communication skills to convey technical findings to non-technical stakeholders.