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 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

- 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