Optum is a global healthcare organization leveraging technology, data, and innovation to improve health outcomes for millions of people. We empower teams to build solutions that connect individuals with the care, pharmacy perks, and insights they need to live healthier lives.
Join us and be part of a culture driven by inclusion, collaboration, and continuous growth—where your work directly contributes to advancing health optimization at scale.
Role Overview
We are seeking a highly experienced Data Engineer / Data Analyst to design, build, and optimize scalable data solutions and analytics frameworks. In this role, you will work closely with business and technical stakeholders to deliver data-driven insights, improve reporting ecosystems, and enable strategic decision-making through robust data pipelines and performance-optimized systems.
Key Responsibilities
Data Engineering & Solution Delivery
Design, develop, test, and deploy scalable data solutions supporting both tactical and strategic business needs
Build and maintain robust data pipelines using SQL, Python,
and Azure data services
Develop recent data assets and enhance existing datasets, ensuring high performance, accuracy, and reliability
Apply software engineering best practices to ETL/ELT development and data integration workflows
Analytics & Reporting Optimization
Analyze existing reporting inventory to identify opportunities for consolidation, optimization, or decommissioning
Design and implement dashboards, reports, KPIs, and key risk indicators (KRIs) aligned to business objectives
Use data discovery techniques across complex datasets to generate actionable insights and recommendations
Stakeholder Engagement & Strategy
Collaborate with business stakeholders to understand requirements and translate them into data solutions
Provide consultative insights on process improvements, data strategy, and system enhancements
Present findings and recommendations clearly to both technical and non-technical audiences
📌 Senior Data Analyst Noida
🏢 Optum
📍 Noida