Primary Responsibilities:
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 prospects 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
Builder Responsibilities
Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making.

Impact of the Role This position plays a critical role in enabling data-driven decisions across ITAM processes, ensuring seamless integration between systems and improving operational efficiency

Required Qualifications:




Experience 10+ years in Data Engineering or Data Analytics
Experience with automation and scripting for data extraction and transformation
Experience working with large, complex datasets and multiple data sources
Background in data governance and compliance frameworks
Knowledge of ITAM tools and platforms (e.g., ServiceNow, Flexera, or similar)
Understanding of IT Asset Management processes and lifecycle concepts
Familiarity with upstream/downstream system integrations and data flows
Solid proficiency in data analysis tools (e.g., SQL, Power BI, Tableau, or similar)
Proven excellent problem-solving skills and ability to translate data into actionable insights
Proven solid communication skills to convey technical findings to non-technical stakeholders

Preferred Qualifications:
Graduate of Data Engineering or data analytics
Exposure to AI as User OR Builder

📌 Sr Data Engineering Consultant Noida
🏢 Optum
📍 Noida