Data Analyst, Python, SQL and SAS

Round 1: Online aptitude test (logical reasoning, quantitative, verbal) → Round 2: Technical interview (SQL, Python, SAS, case studies) → Round 3: HR interview (behavioral fit, career aspirations)

Citi promotes a collaborative and inclusive work environment where employees are encouraged to share ideas and take ownership of projects. The firm offers clear career progression, regular upskilling programs, and a balanced approach to work‑life integration, especially with its hybrid model.

Citi’s interview process typically begins with an online aptitude test lasting 30‑45 minutes, followed by a technical interview where candidates solve SQL queries, write Python scripts, and discuss SAS‑based solutions. The final HR round focuses on behavioral questions, cultural fit, and career goals. Preparation should include mock tests, hands‑on coding practice, and clear articulation of past project experiences.

Bachelor's or Master's degree in Computer Science, Information Technology, Statistics, Mathematics, Economics or related fields; 60% or above in aggregate; graduating batch 2024‑2026; no active backlogs at the time of joining; strong analytical mindset and willingness to learn new tools.

Citi is a global financial services powerhouse with a presence in more than 160 countries and a workforce of over 219,000 professionals. The bank offers a broad range of services including consumer banking, corporate and investment banking, securities, and wealth management. Known for its strong emphasis on innovation, Citi invests heavily in technology and data-driven solutions to stay ahead in a rapidly evolving financial landscape. The company’s culture promotes diversity, inclusion, and continuous learning, providing employees with opportunities to work on high‑impact projects that shape the future of finance. The Data Analyst role in Bengaluru is an entry‑level position within the Data/Information Management team. As a Data Analyst, you will support senior analysts and business partners by extracting, cleaning, and interpreting large data sets using SQL, Python, and SAS. You will translate business requirements into analytical solutions, create automated reports, and help drive data‑centric decision making across the organization. This hybrid role blends technical rigor with strong communication skills, allowing you to interact with stakeholders from various functions while honing your analytical expertise. Key Responsibilities: 1. Retrieve, manipulate, and analyze data from relational databases using SQL, Python, and SAS. 2. Replicate and adapt existing analytical models and reports for new markets or business segments. 3. Produce, validate, and enhance recurring management reports, dashboards, and scorecards. 4. Identify automation opportunities and develop scripts or workflows to reduce manual effort. 5. Collaborate with business stakeholders to gather requirements and ensure deliverables meet expectations. 6. Prepare clear presentations and executive summaries that convey insights and recommendations. 7. Maintain data governance standards, documentation, and control procedures. 8. Participate in continuous improvement initiatives, suggesting enhancements to data pipelines and reporting processes. 9. Support ad‑hoc analytical requests and deep‑dive investigations as needed. 10. Stay updated with emerging tools and best practices in data analytics and visualization. Tech Stack: SQL, Python, SAS, Tableau (nice to have), Dataiku (nice to have), Excel, PowerPoint. Growth Path: Starting as a Data/Information Management Analyst 2, high performers can progress to Senior Analyst, Lead Analyst, and eventually to Manager or Data Product Owner roles, with exposure to global finance projects and cross‑functional leadership opportunities. Why Join Citi: Citi offers a structured early‑career program, mentorship from industry veterans, and a global platform to work on real‑world financial data. The hybrid work model provides flexibility, while the company’s commitment to learning ensures you acquire cutting‑edge analytical skills. Competitive compensation, robust benefits, and a culture that values diversity make Citi an attractive launchpad for aspiring data professionals.