Data Analyst with SQL/Python/Data visualization

Round 1: Online Aptitude Test (Logical Reasoning, Numerical Ability, Verbal) → Round 2: Technical Interview (SQL/Python/Data Visualization) → Round 3: HR Interview (fitment, motivation, cultural fit)

Citi promotes a performance‑driven yet inclusive culture where employees are encouraged to innovate and take ownership. The firm offers structured learning paths, regular feedback, and a good work‑life balance with flexible hybrid arrangements.

Citi’s interview process typically starts with a timed online aptitude test followed by a technical interview focusing on SQL queries, Python data manipulation, and visualization concepts. The final HR round assesses cultural fit, communication skills, and motivation. Candidates find the rounds moderately challenging but manageable with solid preparation on data fundamentals and problem‑solving.

Bachelor's degree or equivalent in any discipline (Engineering, Science, Commerce, Arts). Minimum 60% aggregate or CGPA 6.0/10. Fresh graduates of the 2025‑2027 batch. 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 built a strong presence across banking, capital markets, and technology, offering a dynamic environment where innovation meets global best practices. The company prides itself on a culture of inclusion, continuous learning, and a commitment to giving back to the community through various CSR initiatives. As a fresher-friendly organization, Citi invests heavily in training programs, mentorship, and clear career progression pathways, making it an attractive launchpad for young talent. The Data Analyst (SQL/Python/Data Visualization) role is a trainee position designed for fresh graduates who are eager to apply analytical skills in a real‑world banking environment. You will work closely with senior analysts and business stakeholders to extract, transform, and visualize data that drives strategic decisions. The role offers a blend of hands‑on technical work and exposure to business processes, providing a solid foundation for a career in data‑driven finance. **Key Responsibilities** 1. Write and optimize SQL queries to retrieve data from relational databases. 2. Develop Python scripts for data cleaning, transformation, and basic statistical analysis. 3. Create interactive dashboards and reports using Power BI or Tableau. 4. Perform ad‑hoc data analysis to support business queries and decision‑making. 5. Maintain data quality by identifying inconsistencies and suggesting corrective actions. 6. Document data sources, methodologies, and analytical processes for reproducibility. 7. Collaborate with cross‑functional teams to understand reporting requirements. 8. Assist in preparing regular performance and risk reports for senior management. 9. Participate in code reviews and knowledge‑sharing sessions with senior analysts. 10. Ensure compliance with Citi’s data governance and security policies. **Tech Stack**: SQL, Python (pandas, numpy), Power BI/Tableau, Excel, Git (basic version control). **Growth Path**: Successful analysts can progress to Senior Analyst, Data Engineer, or Business Intelligence Lead within 2‑3 years, with opportunities to move into specialized domains such as risk analytics, market analytics, or product analytics. **Why Join Citi?** Citi offers a globally recognized brand, structured training programs, exposure to large‑scale financial data, and a collaborative culture that values diversity and innovation. Freshers receive mentorship from seasoned professionals, access to internal learning platforms, and a clear roadmap for career advancement.