Data Analyst

Round 1: Online Aptitude Test (logical reasoning, quantitative, verbal) → Round 2: Technical Interview (SQL/Python/SAS coding, case study) → Round 3: HR Interview (fit, motivations, cultural fit)

Citi promotes a collaborative and inclusive work environment where employees are encouraged to share ideas and take ownership of projects. The bank offers structured learning programs, mentorship, and a balanced approach to work‑life integration, especially in its Bengaluru office where hybrid arrangements are common.

Citi’s interview process typically starts with a timed online aptitude test, followed by a technical interview that probes your SQL, Python, and SAS knowledge through live coding or case studies. The final HR round assesses cultural fit, communication skills, and motivation. Candidates report a moderate difficulty level, with emphasis on clear problem‑solving approach and business‑oriented thinking.

Bachelor's or Master's degree in Computer Science, Information Technology, Statistics, Mathematics, Economics, Engineering (any branch) or related field; minimum 60% aggregate (or CGPA 6.5/10); freshers with 0-2 years of relevant experience; no active backlogs at the time of joining; graduation batch 2023‑2026 preferred.

Citi, one of the world’s leading global banks, operates in more than 160 countries and serves a diverse client base ranging from individuals to large corporations. With a workforce of over 219,000 professionals, Citi is known for its strong emphasis on innovation, sustainability, and inclusive culture. The bank’s Indian operations, especially in Bengaluru, act as a hub for technology, analytics, and risk management, offering fresh talent exposure to cutting‑edge financial products and global best practices. Employees benefit from continuous learning programs, mentorship from senior leaders, and opportunities to work on cross‑border projects that shape the future of banking. The Data/Information Management Analyst 2 role is an entry‑level position designed for recent graduates who are eager to translate raw data into actionable business insights. Reporting to senior analysts, you will collaborate with business stakeholders across various units, helping them make data‑driven decisions. The role blends data extraction, transformation, and visualization with a focus on automation and process improvement, making it an ideal launchpad for a career in analytics within a multinational environment. Key Responsibilities: 1. Retrieve, clean, and manipulate large datasets using SQL, Python, and SAS to meet reporting requirements. 2. Replicate and adapt existing analytical solutions for new markets, regions, or business segments. 3. Support the production, validation, and enhancement of recurring management reports and scorecards. 4. Identify opportunities for automation and implement scripts or workflows to reduce manual effort. 5. Collaborate with business stakeholders to clarify requirements and translate them into technical specifications. 6. Prepare concise presentations and executive summaries that communicate analytical findings clearly. 7. Ensure adherence to data governance policies, security standards, and internal controls. 8. Participate in continuous improvement initiatives, suggesting new metrics or visualizations. 9. Maintain documentation of data pipelines, report logic, and validation procedures. 10. Stay updated with emerging tools and techniques in data analytics and share knowledge with the team. Tech Stack: SQL, Python (pandas, numpy), SAS, Tableau/Dataiku (preferred), Excel, PowerPoint, Git for version control. Growth Path: Successful analysts can progress to Senior Analyst, Data Scientist, Analytics Manager, or Product Owner roles within Citi’s Global Analytics and Risk divisions. The bank encourages certifications (e.g., SAS, Tableau) and offers internal mobility across geographies. Why Join Citi? You will work in a globally recognized financial institution that values diversity, continuous learning, and impact. The hybrid work model provides flexibility while fostering collaboration. Exposure to real‑world financial data, mentorship from industry veterans, and a clear career ladder make Citi an attractive launchpad for aspiring data professionals.