Data Analyst

MetLife’s interview process typically starts with a timed online assessment covering quantitative aptitude and basic SQL/Excel concepts. The technical interview focuses on Alteryx workflow design, data transformation scenarios, and problem‑solving ability. The final HR round assesses cultural fit, communication skills, and career aspirations. Overall difficulty is moderate; thorough preparation on Alteryx and data fundamentals helps candidates succeed.

MetLife is known for a supportive work culture that encourages collaboration across global teams. Employees enjoy a balanced mix of challenging projects and flexible hybrid work options, along with regular learning sessions and clear career progression pathways.

Bachelor’s degree in Computer Science, Information Technology, Electronics & Communication, or any equivalent engineering/technology discipline; minimum 60% aggregate (or CGPA 6.0/10); batch years 2022‑2026; no active backlogs at the time of joining; strong analytical mindset and willingness to learn.

Round 1: Online Assessment (aptitude + basic technical) → Round 2: Technical Interview (Alteryx workflow, SQL, Excel/VBA) → Round 3: HR Interview (fit, motivation, salary discussion)

MetLife is a global leader in insurance, employee benefits, and financial services, operating in more than 50 countries. In India, MetLife’s Global Capability Center (GCC) in Noida serves as a hub for data‑driven decision making, supporting business units across the world. The company prides itself on a culture of innovation, continuous learning, and a strong emphasis on employee well‑being, offering a collaborative environment where fresh talent can grow alongside seasoned professionals. The Data Analyst (Alteryx) role sits within MetLife’s Data & Analytics organization. Reporting to senior analysts and data engineers, the incumbent will be responsible for designing, building, and maintaining Alteryx workflows that automate data ingestion, cleansing, transformation, and integration. The position is hybrid, allowing a blend of on‑site collaboration in Noida and remote work, which helps maintain work‑life balance while fostering cross‑functional interaction. Key Responsibilities: 1. Develop and deploy Alteryx Designer workflows to automate repetitive data processing tasks. 2. Write efficient SQL queries for data extraction, validation, and reporting. 3. Perform data transformation and integration from multiple source systems into a unified analytical layer. 4. Conduct root‑cause analysis of workflow performance issues and implement optimization strategies. 5. Collaborate with Business, Technology, Operations, Data Governance, Data Quality, Data Modeling, Data Architecture, Data Science, and BI teams to understand requirements and deliver actionable insights. 6. Create and maintain documentation for data pipelines, workflow logic, and data lineage. 7. Support self‑service analytics initiatives by preparing data sets for Power BI dashboards. 8. Participate in code reviews and knowledge‑sharing sessions to uplift the overall data competency of the team. 9. Assist in data quality checks and ensure compliance with governance standards. 10. Stay updated with emerging tools and best practices in data automation and analytics. Tech Stack: Alteryx Designer, SQL, MS Excel, VBA, Power BI (good to have), Python (good to have), Microsoft Power Platform, and basic cloud data services. Growth Path: Starting as an Associate Data Analyst, high performers can progress to Senior Analyst, Data Engineer, or Analytics Lead roles within 2‑4 years, with opportunities to specialize in data science, BI architecture, or data governance. Why Join MetLife? The company offers a structured learning environment, mentorship from industry veterans, and exposure to large‑scale enterprise data projects. Employees benefit from competitive compensation, robust benefits, and a culture that values diversity, inclusion, and continuous upskilling. For fresh graduates eager to dive into real‑world analytics, MetLife provides a launchpad to build a solid foundation in data automation and business intelligence.