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.

Primary Responsibilities:

• Analyze, clean, and transform large datasets using Python, Spark, and Hive
• Build interactive dashboards and visual reports using Tableau and Power BI
• Perform exploratory data analysis to identify trends, patterns, and actionable insights
• Develop automated data workflows and scripts to streamline reporting processes
• Collaborate with cross functional teams to translate business needs into analytical solutions
• Write efficient SQL/HiveQL queries for data extraction and validation
• Present analytical findings clearly to both technical and non technical stakeholders
• Ensure data quality, accuracy, and consistency across datasets and reporting systems
• 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

Required Qualifications:

• Bachelor's degree in a quantitative field (CS, Data Science, Engineering, Statistics, etc.)
• 3+ years of hands on experience in data analysis or a similar analytical role
• Experience working with distributed systems such as Spark and Hive for large scale data processing
• Proficiency in Tableau and Power BI for visualization and dashboard development
• Solid Python skills with experience in libraries like Pandas, NumPy, and PySpark
• Solid SQL/HiveQL abilities for querying and transforming large datasets
• Proven solid analytical, problem solving, and data storytelling skills
• Proven ability to work independently, manage multiple tasks, and communicate effectively with cross functional teams