Associate Data Analyst

MetLife's interview process typically starts with a timed online aptitude test focusing on logical reasoning, data interpretation, and basic SQL. Successful candidates move to a technical interview where they solve SQL queries, discuss Excel functions, and explain data visualization approaches. The final HR round assesses cultural fit, communication skills, and career goals. Overall difficulty is moderate; thorough preparation of fundamentals and clear articulation of analytical thinking are key.

MetLife promotes a collaborative and inclusive work environment where employees are encouraged to share ideas and innovate. The company offers clear growth pathways, regular upskilling programs, and a healthy work‑life balance with flexible timings and occasional remote work options.

Bachelor's degree in Computer Science, Information Technology, Statistics, Mathematics, Economics, Business Administration or any related discipline. Minimum 60% aggregate (or CGPA 6.0/10). No active backlogs; maximum of 2 backlogs allowed at the time of application, all must be cleared before joining. Candidates from the 2025, 2026 or 2027 graduating batches are eligible.

Round 1: Online Aptitude Test (Logical Reasoning, Data Interpretation, SQL basics) → Round 2: Technical Interview (SQL queries, Excel case studies, data visualization concepts) → Round 3: HR Interview (fitment, communication, career aspirations)

MetLife, a global leader in insurance, employee benefits, and financial services, has a strong presence in India with offices in major metros including Pune, Bengaluru, and Gurgaon. The company prides itself on a customer‑centric culture, leveraging data and technology to design innovative solutions that protect lives and assets. With a workforce of over 30,000 professionals worldwide, MetLife encourages a collaborative environment where fresh talent can learn from seasoned experts, benefit from structured training programs, and contribute to high‑impact projects that shape the future of insurance analytics. The role of Associate Data Analyst in Pune is designed for recent graduates who are eager to translate raw data into actionable business insights. As an entry‑level analyst, you will work closely with cross‑functional business teams, product managers, and senior data scientists to understand data requirements, build dashboards, and support decision‑making processes. This position offers a solid foundation in data analytics, exposure to real‑world business problems, and a clear career trajectory toward senior analyst or data scientist roles within MetLife’s analytics hub. Key Responsibilities: 1. Collect, clean, and validate large data sets from internal and external sources. 2. Perform exploratory data analysis to uncover trends, patterns, and anomalies. 3. Develop and maintain interactive dashboards and visual reports using tools such as Power BI or Tableau. 4. Translate business questions into analytical queries and deliver concise findings. 5. Collaborate with business stakeholders to define data requirements and ensure alignment with strategic goals. 6. Document data pipelines, methodologies, and reporting standards for reproducibility. 7. Monitor data quality metrics and implement corrective actions when discrepancies arise. 8. Support ad‑hoc analytical projects and contribute to continuous improvement initiatives. 9. Participate in knowledge‑sharing sessions and stay updated with emerging analytics techniques. 10. Assist senior analysts in building predictive models and statistical analyses where required. Tech Stack: Excel, SQL, Power BI/Tableau, basic Python/R for data manipulation, and familiarity with data warehousing concepts. Growth Path: Starting as an Associate Data Analyst, high performers can progress to Data Analyst, Senior Data Analyst, and eventually to Analytics Lead or Data Scientist roles, with opportunities to specialize in areas like risk analytics, customer insights, or product analytics. Why Join MetLife? The company offers a structured onboarding program, mentorship from industry veterans, competitive compensation, and a culture that values continuous learning. Employees enjoy flexible work arrangements, a focus on work‑life balance, and access to global best practices in insurance analytics, making it an ideal launchpad for a data‑driven career.