Associate Data Analyst - Scala, PySpark, Azure cloud, AI

Round 1: Online Assessment → Round 2: Technical Interview → Round 3: HR Interview

Optum promotes a collaborative and inclusive environment where employees are encouraged to innovate and grow. The company offers structured learning paths, mentorship programs, and flexible work arrangements that support work‑life balance. Employees often cite strong leadership support and clear career progression as key strengths of the culture.

Optum's interview process typically starts with an online assessment that tests coding (Scala/PySpark) and logical reasoning. This is followed by a technical interview where candidates discuss past projects, data pipeline design, and Azure concepts. The final HR round focuses on cultural fit, communication skills, and motivation. Overall difficulty is moderate; thorough preparation on data engineering fundamentals and clear articulation of problem‑solving approaches are key.

Graduate degree (B.Tech/B.E., B.Sc., B.Com, or equivalent) in Computer Science, Information Technology, Engineering, Mathematics, Statistics or related field; Minimum 60% aggregate (or CGPA 6.5/10); Freshers from the 2026 batch; No active backlogs at the time of joining; Strong analytical mindset and willingness to learn new technologies.

Optum, a subsidiary of UnitedHealth Group, is a global health services and technology company that leverages data, analytics, and digital platforms to improve health outcomes for millions of people. With a presence in over 150 countries, Optum combines clinical expertise, advanced analytics, and cutting‑edge technology to simplify the delivery of care, pharmacy benefits, and health information. The company’s culture is built on inclusion, continuous learning, and a mission‑driven mindset that encourages employees to make a tangible impact on community health. As an Associate Data Analyst at Optum Hyderabad, you will be part of a fast‑growing analytics team that supports business units with data‑driven insights. The role focuses on developing and enhancing algorithms in the Azure cloud, automating processes using AI, and translating business requirements into scalable data solutions. You will collaborate closely with product owners, data engineers, and AI specialists to ensure that analytical deliverables meet high standards of quality and relevance. Key Responsibilities: 1. Design, develop, and optimize data pipelines and algorithms in Azure based on business logic received from stakeholders. 2. Automate repetitive data processing tasks by integrating AI/ML models and LLMs where applicable. 3. Conduct code reviews and enforce best practices in Scala and PySpark to maintain code quality. 4. Implement CI/CD pipelines and work within Agile frameworks (Scrum/Kanban) to ensure rapid delivery. 5. Create and maintain API integrations for data ingestion and exposure to downstream applications. 6. Perform data validation, profiling, and quality checks to guarantee accurate reporting. 7. Document technical solutions, data dictionaries, and process flows for knowledge sharing. 8. Proactively suggest innovative technologies and process improvements to add business value. 9. Participate in cross‑functional meetings to understand evolving business needs and translate them into technical specifications. 10. Mentor junior team members and contribute to a collaborative team environment. Tech Stack: Scala, PySpark, Azure Data Lake, Azure Synapse, Azure DevOps, CI/CD tools, REST APIs, AI/ML frameworks, Agile (Jira/Rally). Growth Path: Starting as an Associate Data Analyst, you can progress to Data Analyst, Senior Data Analyst, and eventually to roles such as Data Engineer, AI Solutions Architect, or Analytics Manager, depending on performance and skill development. Why Join Optum? Optum offers a purpose‑driven work environment where your analytical skills directly influence health outcomes. Employees benefit from robust learning programs, mentorship, competitive compensation, and a culture that values diversity, flexibility, and work‑life balance. The company’s global footprint also opens doors for international exposure and career mobility.