Data Analyst

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

UnitedHealthcare's Industrial Engineering team specializes in improving the performance of the health system by providing analytics, technology, and consulting services that enable better decisions and performance. Your career will be greater at UnitedHealthcare through advancement, access to data, ability to impact the healthcare industry, and rewards for delivering on our mission; Helping People Live Healthier Lives.

• Lead end-to-end business process management activities, including reviewing, designing, controlling, and continuously improving operational processes
• Drive customer readiness and implementation efforts by leading cross-functional project teams; diagnose process improvement opportunities and develop solutions using process excellence, industrial engineering, Six Sigma, and related methodologies
• Apply industrial engineering fundamentals, advanced statistical modeling, and emerging technologies to develop practical, data-driven solutions that improve efficiency, quality, and scalability
• Partner with leadership to define project strategies, develop project plans, and perform cost-benefit analyses to ensure successful execution of process improvement initiatives
• Provide analytical support to define business requirements, functional specifications, design criteria, and testing approaches for process, technical, and analytical projects
• Serve as a subject-matter expert on productivity measurement, including standard time development, work studies, work sampling, and performance measurement methodologies
• Use statistical and quantitative methods to evaluate account-level operational performance, forecast demand, and determine staffing and capacity requirements
• Analyze and improve workflows by evaluating process maps and flowcharts, identifying inefficiencies, and recommending enhancements to workflows, procedures, technology, and tools
• Demonstrate working knowledge of statistical quality control, business intelligence concepts, and basic project management, and actively support organizational change initiatives
• 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 regards 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 so

• Bachelor's degree or equivalent experience; degree preferred in Industrial Engineering, Systems Engineering or Engineering/Mathematics
• 5+ years of experience in applying industrial Engineering fundamentals including time and motion studies (stopwatch or fixed motion)
• 3+ years of experience with documenting processes, process mapping, creating and deploying process documentation standards, and process documentation governance procedures
• 3+ years of experience applying statistical methods
• Intermediate or higher level of proficiency with Microsoft Excel, Visio and PowerPoint

• Master's Degree or MBA
• Experience in Agile
• Experience with capacity planning
• Experience managing multiple, simultaneous projects
• Experience with data mining methods, statistical modeling, and optimization techniques
• Experience applying industrial engineering fundamentals in a service industry
• Experience as a change agent with demonstrated transformations in the process engineering domain
• Proven excellent communication, time/project management, problem solving, organizational, and analytical skills
• Willing or ability to work on a shift timing - 3:30 to 1:00 AM IST