Data Analyst

Optum's interview process typically spans three rounds. The first round tests aptitude and logical reasoning, the second focuses on technical skills such as SQL queries, Excel functions, and data visualization case studies, and the final HR round assesses cultural fit and communication. Candidates should prepare with real‑world data scenarios and be ready to discuss how they translate insights into business actions.

Optum promotes a collaborative and inclusive work environment where learning is encouraged. Employees benefit from clear career progression, mentorship programs, and a balanced approach to work and personal life. The company emphasizes health‑focused innovation, giving analysts exposure to impactful projects.

Graduate degree (B.Tech/B.E., B.Sc., B.Com, BBA, or equivalent) with a minimum of 60% aggregate. Preferred branches: Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Engineering, or related fields. No active backlogs allowed. Fresh graduates as well as experienced professionals are welcome. Candidates should possess strong analytical mindset and basic knowledge of SQL and Excel.

Round 1: Aptitude & Logical Reasoning → Round 2: Technical Assessment (SQL, Excel, case study) → Round 3: HR Interview (fitment, motivations)

Optum, a leading health services and innovation company, operates across the globe with a strong presence in India. The organization focuses on leveraging data, technology, and analytics to improve health outcomes, reduce costs, and enhance patient experiences. With a culture that encourages continuous learning, collaboration, and impact‑driven work, Optum has become a preferred employer for professionals seeking to make a difference in the healthcare ecosystem. As a Data Analyst at Optum Bangalore, you will be at the heart of data‑driven decision making. The role involves extracting actionable insights from large, complex datasets, translating business problems into analytical solutions, and communicating findings to cross‑functional teams. You will work closely with product managers, engineers, and business stakeholders to ensure that data is accurate, reliable, and effectively used to drive strategic initiatives. Key responsibilities: 1. Analyze and interpret data to identify trends, patterns, and actionable business insights. 2. Investigate data anomalies, resolve data quality issues, and handle non‑standard requests within assigned functional areas. 3. Provide clear explanations, interpretations, and recommendations based on analytical findings. 4. Utilize relevant metrics and business information to solve operational and analytical problems. 5. Develop, maintain, and enhance reports, dashboards, and data summaries using visualization tools. 6. Collaborate with stakeholders to understand information needs and deliver tailored analytical support. 7. Prioritize multiple assignments, ensuring timely delivery while meeting service expectations. 8. Ensure data quality, accuracy, and consistency across all reports and analyses. 9. Communicate findings effectively to business and operational teams, facilitating data‑driven decision making. 10. Support continuous improvement initiatives by recommending data‑centric process enhancements. Tech stack: SQL, Microsoft Excel, Power BI or Tableau, basic statistical tools (R/Python optional), and data warehousing concepts. The role offers a clear growth path – starting as an Analyst, progressing to Senior Analyst, then to Analytics Lead or Manager, with opportunities to specialize in domains such as health economics, predictive modeling, or business intelligence. Why join Optum? You will be part of a purpose‑driven organization that values innovation, offers exposure to cutting‑edge healthcare data, and provides mentorship from industry experts. Competitive compensation, flexible work arrangements, and a supportive culture focused on work‑life balance make Optum an attractive place to launch or accelerate a data analytics career.