Data Analyst - Azure, GenAI, PowerBI, SQL

Overview

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.

Primary Responsibilities

• Project Leadership: Manage end-to-end project lifecycles, ensuring timely completion and strategic alignment ensuring quality output
• Data Analytics: Utilize statistical modeling, machine learning, and Generative AI to develop analytical solutions for business problems
• Tech Improvement: Drive technology and process improvement initiatives using standard project methodologies. Drive migrate to cloud technology and environment for analytical solutions
• Stakeholder Collaboration: Engage with business users to gather requirements, resolve business rules, and review data models
• Reporting: Produce and distribute scheduled and ad-hoc reports on product development and performance
• Consultation: Provide expert consultation across analytics teams, offering industry knowledge and support for ongoing projects
• 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
  
  

• Cloud Platforms: Experience with Google Cloud Platform, Microsoft Azure, and Amazon Web Services
• BI Tools: Experience with PowerBI and Tableau/Looker
• Advanced Analytics: Knowledge of text mining, social listening, recommender systems, and predictive modeling
• Programming: Proficiency in Python, R, and statistical techniques
  
  

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field
• 4+ years in business analytics
• 4+ years in statistical modeling, machine learning, and large data analysis
• 3+ years with Big Data technologies and statistical programming
• 2+ years with PowerBI; Tableau/Looker
• 1+ years with cloud technology and Generative AI
• 1+ years of experience with project methodology (requirements, design, development, test and implementation)
• Working knowledge of statistics and relational databases
• Git mastery for version control
• Proficiency in Excel, Access, PowerPoint
• Proven solid process improvement and business workflow evaluation
• Proven excellent communication, project management, and problem-solving skills
• Proven ability to drive strategic initiatives and influence decision-making processes
  
  

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