Data Analyst with SQL/Python/Data visualization

Round 1: Online Aptitude & Logical Reasoning → Round 2: Technical Interview (SQL/Python/Data Visualization) → Round 3: HR Interview

Citi is known for a collaborative and performance‑driven culture where employees are encouraged to innovate and take ownership. The firm offers robust learning resources, mentorship, and a balanced approach to work‑life integration, making it a supportive environment for fresh graduates.

Citi’s interview process typically spans three rounds. The first round is an online aptitude test covering quantitative, logical, and verbal abilities. The second round is a technical interview where candidates are assessed on SQL queries, Python coding, and data‑visualization concepts. The final HR round evaluates cultural fit, communication skills, and motivation. Overall difficulty is moderate, with a focus on practical problem‑solving.

Graduates with a B.Tech/B.E/MCA/BS in Computer Science, Information Technology, Electronics, or related fields. Minimum 60% aggregate (or CGPA 6.0/10). Batch year 2025‑2027. No active backlogs at the time of joining. Strong academic record in quantitative subjects is preferred.

Citi is a global financial services powerhouse with a presence in more than 100 countries. In India, Citi operates across banking, capital markets, and wealth management, offering a dynamic environment where technology and finance intersect. The company invests heavily in digital transformation, data‑driven decision making, and innovative solutions for its clients. As a fresher‑friendly organization, Citi provides structured onboarding, mentorship programs, and clear career ladders for early‑career professionals. The Data Analyst role at Citi’s Haryana office is designed for fresh graduates who are eager to apply their analytical skills to real‑world financial data. You will work closely with senior analysts and business stakeholders to extract insights, build dashboards, and support data‑centric initiatives across the bank. The position offers exposure to large‑scale data pipelines, modern visualization tools, and a collaborative culture that values curiosity and continuous learning. Key Responsibilities: 1. Extract, clean, and transform data from relational databases using SQL. 2. Develop Python scripts for data manipulation, statistical analysis, and automation of routine tasks. 3. Create interactive visualizations and dashboards using tools such as Tableau or Power BI to communicate insights to business users. 4. Perform exploratory data analysis to identify trends, anomalies, and opportunities for process improvement. 5. Assist in maintaining data quality standards and documentation of data lineage. 6. Support the preparation of regular and ad‑hoc reports for senior management. 7. Collaborate with cross‑functional teams to understand data requirements and translate them into technical solutions. 8. Participate in code reviews and knowledge‑sharing sessions to foster best practices. 9. Contribute to the design of data models and assist in database schema enhancements. 10. Stay updated with emerging data‑analytics technologies and suggest innovative approaches. Tech Stack: SQL, Python (pandas, numpy, matplotlib), Tableau/Power BI, Excel, Git, basic Linux commands. Growth Path: Starting as an Analyst, high performers can progress to Senior Analyst, then to Data Scientist or Analytics Manager within 2‑4 years, with opportunities to move across business lines such as risk, finance, or digital banking. Why Join Citi: You will be part of a globally recognized brand that values data as a strategic asset. Citi offers a structured learning environment, exposure to financial data at scale, and a clear roadmap for career advancement. The company’s inclusive culture, flexible work arrangements, and emphasis on work‑life balance make it an attractive destination for fresh talent looking to launch a rewarding analytics career.