Optum is Hiring Data Analyst 2 in Noida
Business Analytics & Reporting | Noida
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Job Overview
Optum India is hiring a Data Analyst 2 to join its Business Analytics & Reporting (BAR) team in Noida. This role focuses on supporting enterprise Business Intelligence (BI) environments, ensuring the stability and performance of reporting platforms, and delivering high-quality analytics solutions across executive, operational, product, and KPI dashboards.
As a Data Analyst 2, you will manage production support, optimize reporting workflows, develop ETL processes, and collaborate with cross-functional teams to improve reporting reliability and business insights. This opportunity is ideal for experienced professionals seeking Data Analytics, Business Intelligence, Reporting, and Data Engineering careers within a leading global healthcare technology organization.
💡 Why this role?
Lead enterprise-level BI operations while working with tools like Alteryx, SQL, and Tableau to ensure business continuity and performance excellence on a massive scale.
This opportunity is ideal for candidates searching for:
Roles & Responsibilities
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Support enterprise Business Intelligence and reporting platforms, actively managing production incidents and support requests.
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Troubleshoot reporting and data pipeline issues, developing and maintaining advanced Alteryx and ETL workflows.
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Optimize SQL queries and reporting performance while building and supporting Tableau, Power BI, and SSRS dashboards.
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Monitor reporting system health and availability, performing Root Cause Analysis (RCA) to effectively mitigate production issues.
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Automate reporting workflows, maintain process documentation/SOPs, and collaborate with cross-functional business and technology teams to improve reporting reliability.
Eligibility Criteria
Technical & Core Competence Required
Deep expertise in **Business Intelligence, Reporting Support, and Production Incidents**. Candidates must possess exceptionally strong skills in **Alteryx, T-SQL, Tableau, and Power BI**. Extensive experience optimizing ETL workflows and managing enterprise-scale datasets is strictly required.
How to Apply
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