🏢 Company Overview:
Optum, a part of UnitedHealth Group, is a global health services and innovation company committed to improving healthcare through data-driven insights and advanced analytics. Optum empowers organizations with technology and intelligence to enhance patient outcomes and streamline healthcare operations.
💼 Job Details:
- Employment type: Full Time
- Experience: 6 to 9 Yeras
- Salary: 5L to 10L Yearly
- Location: Remote
- Work timing: 9:15 AM to 6:15 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
Optum is seeking a highly skilled and analytical Lead Data Analyst to join its growing analytics team. The ideal candidate will have a strong background in data analysis, statistical modeling, and business intelligence tools. You will be responsible for analyzing complex data sets, deriving actionable insights, and supporting strategic decision-making across multiple healthcare functions.
🔑 Key Responsibilities:
- Lead data analysis projects to support business and operational objectives
- Interpret large datasets and identify patterns, trends, and opportunities for improvement
- Collaborate with cross-functional teams to define data requirements and solutions
- Develop and automate reports, dashboards, and KPIs using visualization tools
- Ensure data accuracy, integrity, and compliance with industry standards
- Provide mentorship and guidance to junior analysts
- Communicate insights effectively to stakeholders and senior management
🛠️ Required Skills & Qualifications:
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field
- Strong proficiency in SQL, Python, R, or other analytical tools
- Experience with BI tools (Tableau, Power BI, QlikView, etc.)
- Excellent understanding of data modeling, ETL, and database systems
- Strong problem-solving and communication skills
- Experience in the healthcare or insurance industry is preferred
🌟 Benefits:
- Opportunity to work with one of the leading global healthcare data companies
- Collaborative work environment with innovative projects
- Learning and career advancement opportunities
- Access to cutting-edge analytics tools and technologies
