Data Analyst with SQL/Python/Data visualization

Round 1: Online aptitude test (quantitative, logical reasoning, verbal) → Round 2: Technical interview (SQL/Python/Data visualization) → Round 3: HR interview (behavioral fit, motivation, cultural alignment)

Citi promotes a collaborative and inclusive culture where learning is encouraged through structured mentorship and continuous upskilling. Employees enjoy a balanced work‑life environment with flexible hybrid arrangements and clear career progression pathways.

Citi’s interview process typically starts with a timed online aptitude test, followed by a technical interview that probes your SQL query writing, Python scripting, and data visualization knowledge. The final HR round assesses cultural fit, communication skills, and motivation. Candidates report a moderate difficulty level, with a strong emphasis on problem‑solving clarity and practical examples.

Bachelor’s degree in Computer Science, Information Technology, Statistics, Mathematics, Engineering or any related discipline with a minimum of 60% aggregate (or CGPA 6.0/10). Final year students or recent graduates (2025‑2027 batch) are eligible. No active backlogs at the time of joining. Strong analytical mindset and good communication skills are essential.

Citi is one of the world’s leading financial services institutions, operating in more than 160 countries with a workforce of over 219,000 professionals. In India, Citi has a strong presence across major cities, offering a blend of global best practices and local market insight. The bank is known for its commitment to innovation, diversity, and community impact, providing employees with a platform to work on high‑impact projects that shape the future of finance. As a fresher‑friendly organization, Citi invests heavily in learning and development, ensuring that new joiners receive mentorship, structured training, and exposure to cross‑functional teams. The Data/Information Management Analyst role is a trainee position designed for fresh graduates with a passion for data. You will be part of the Data Management team, supporting the creation, maintenance, and analysis of data assets that drive business decisions across the bank. The role offers a balanced mix of routine operational tasks and opportunities to contribute to larger analytical initiatives, making it an ideal launchpad for a career in data analytics within a global financial institution. Key responsibilities include: 1. Write, test, and optimize SQL queries to extract and manipulate data from relational databases. 2. Develop Python scripts for data cleaning, transformation, and basic statistical analysis. 3. Build interactive dashboards and visual reports using Power BI or Tableau to communicate insights to stakeholders. 4. Perform ad‑hoc data analysis and generate regular performance reports in Excel. 5. Assist in data quality checks, validation, and documentation of data lineage. 6. Support database administration tasks such as user access management and routine backups. 7. Collaborate with senior analysts to understand business requirements and translate them into technical solutions. 8. Participate in risk assessment activities, ensuring compliance with Citi’s data governance policies. 9. Contribute to continuous improvement initiatives by suggesting automation or process enhancements. 10. Maintain clear and concise documentation of all analytical work and procedures. Tech stack: SQL, Python (pandas, numpy), Power BI/Tableau, Excel, basic knowledge of data warehousing concepts. Growth path: Successful analysts can progress to Senior Analyst, Data Engineer, or Business Intelligence Consultant roles, with opportunities to move into data science, risk analytics, or product management tracks within Citi’s global network. Why join Citi? You will gain exposure to large‑scale financial data, work alongside seasoned professionals, and benefit from Citi’s robust learning ecosystem, including certifications, internal training modules, and mentorship programs. The hybrid work model offers flexibility while fostering collaboration, making it an attractive environment for fresh talent eager to build a solid foundation in data analytics.