Data Analyst with SQL/Python/Data visualization

Round 1: Online Assessment (aptitude & logical reasoning) → Round 2: Technical Interview (SQL/Python & case study) → Round 3: HR Interview (fit & behavioural)

Citi promotes a performance‑driven yet inclusive culture where employees are encouraged to take ownership of projects while maintaining a healthy work‑life balance. The firm offers clear career ladders, regular upskilling programs, and global mobility options, making it a supportive environment for fresh talent.

Citi’s interview process typically starts with a timed online aptitude test, followed by a technical interview that probes SQL query writing, Python data‑handling, and basic data‑visualisation concepts. The final HR round assesses cultural fit, communication skills, and motivation. Candidates find the rounds moderately challenging but manageable with focused preparation on core analytics tools.

Bachelor's degree in Computer Science, Information Technology, Electronics, Statistics, Mathematics, Economics or related field; minimum 60% aggregate (or CGPA 6.5/10); graduating batch 2025‑2027; no active backlogs at the time of joining; strong analytical mindset and willingness to learn.

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 major cities, offering a wide range of banking, capital markets, and advisory services. The organization is known for its commitment to innovation, diversity, and community impact, fostering an environment where fresh talent can grow alongside seasoned experts. Citi’s culture emphasizes continuous learning, ethical conduct, and a collaborative spirit, making it an attractive destination for recent graduates looking to launch a career in finance and technology. The Data/Information Management Analyst role is a trainee position designed for freshers who have a solid foundation in SQL, Python, and data‑visualisation tools such as Power BI or Tableau. As a data analyst, you will support the broader analytics team by preparing, cleaning, and interpreting data sets that drive business decisions across the bank. You will work under the guidance of senior analysts, gaining exposure to real‑world financial data, regulatory reporting, and client‑facing insights. **Key Responsibilities** 1. Write and optimise SQL queries to extract data from relational databases. 2. Develop Python scripts for data cleaning, transformation, and basic statistical analysis. 3. Create interactive dashboards and visual reports using Power BI or Tableau. 4. Perform routine data quality checks and flag anomalies for senior review. 5. Assist in preparing periodic performance and compliance reports. 6. Collaborate with business stakeholders to understand data requirements and translate them into technical solutions. 7. Document data pipelines, processes, and standard operating procedures. 8. Participate in team meetings, presenting findings in a concise and audience‑appropriate manner. 9. Support database administration tasks such as data loading and backup verification. 10. Continuously learn and adopt new tools and best practices in data analytics. **Tech Stack**: SQL, Python (pandas, numpy), Power BI/Tableau, Excel, Git (basic version control), Linux command line. **Growth Path**: Successful analysts can progress to Senior Analyst, Data Engineer, or Business Intelligence Consultant within 2‑3 years, with opportunities to move into specialised domains like risk analytics, market research, or product analytics. **Why Join Citi?** Citi offers a structured graduate programme, mentorship from industry veterans, and exposure to global financial data. The hybrid work model provides flexibility while ensuring hands‑on experience. Competitive compensation, robust learning platforms, and a culture that values diversity make Citi an ideal launchpad for a data‑driven career.