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At Optum, we value the distinctive talents and perspectives each employee brings to our workplace. We foster an inclusive work environment through various initiatives like our Employee Resource Groups, which are connected internal communities that focus on sharing our diverse experiences and backgrounds, creating a greater sense of belonging.
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Optum

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Building an inclusive workplace - Optum India

UHG Employee Value Proposition

We are seeking a highly analytical and detail-oriented professional to join our IT Asset Management (ITAM) team. This role will focus on creating meaningful data cuts from a comprehensive set of asset lifecycle data sourced from upstream and downstream applications. The objective is to deliver actionable insights that empower both upstream and downstream teams to optimize processes, improve decision-making, and enhance overall system performance.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 efficiencyPrimary 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• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do soRequired Qualifications:• Experience working with large, complex datasets and multiple data sources• Solid proficiency in data analysis tools (e.g., SQL, Power BI, Tableau, or similar)• Understanding of IT Asset Management processes and lifecycle concepts• Familiarity with upstream/downstream system integrations and data flows• Proven excellent problem-solving skills and ability to translate data into actionable insights• Solid communication skills to convey technical findings to non-technical stakeholdersPreferred Qualifications:• Any Graduate (Preference Data Engineering or data analytics)• Experience 10+ years in Data Engineering or Data Analytics• Experience with automation and scripting for data extraction and transformation• Exposure to AI as User OR Builder( is a Plus)• Knowledge of ITAM tools and platforms (e.g., ServiceNow, Flexera, or similar)• Background in data governance and compliance frameworks

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