Data Analyst with SQL/Python/Data visualization

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 collaborative environment that encourages innovation and continuous learning. The firm’s culture emphasizes diversity, inclusion, and a commitment to community impact, making it an attractive destination for fresh talent looking to launch a global career.

The Data Analyst (SQL/Python/Data Visualization) role is a trainee position designed for recent graduates who are eager to apply analytical skills in a real‑world banking environment. As a member of the Data/Information Management team, you will support day‑to‑day data operations, assist senior analysts in building dashboards, and contribute to data‑driven decision making across the organization. This hybrid role blends hands‑on technical work with exposure to business processes, providing a solid foundation for a long‑term career in data analytics within the financial sector.

Key Responsibilities

• Write, test, and maintain SQL queries to extract and manipulate data from relational databases.
• Develop Python scripts for data cleaning, transformation, and basic statistical analysis.
• Create interactive visualizations and reports using Power BI or Tableau to communicate insights to stakeholders.
• Perform routine data quality checks and support data governance initiatives.
• Assist in preparing daily, weekly, and monthly analytical reports for internal teams.
• Collaborate with senior analysts to understand business requirements and translate them into technical solutions.
• Document data pipelines, processes, and reporting standards for knowledge sharing.
• Participate in team meetings, providing updates on progress and flagging any data‑related risks.
• Continuously learn and adopt new tools and best practices in data analytics.
• Ensure compliance with Citi’s data security and privacy policies.

Tech Stack: SQL, Python (pandas, numpy), Power BI/Tableau, Excel, Git (basic version control), and familiarity with data warehousing concepts.

Growth Path: Successful analysts can progress to Senior Analyst, Data Engineer, or Business Intelligence Lead roles, with opportunities to move across functional domains such as risk, finance, or digital banking. Citi invests heavily in up‑skilling through internal learning platforms, certifications, and mentorship programs.

Why Join Citi?

• Exposure to global banking data and cutting‑edge analytics tools.
• Structured training and mentorship from experienced professionals.
• Competitive compensation, performance‑linked bonuses, and comprehensive benefits.
• A culture that values diversity, encourages innovation, and supports work‑life balance.
• Clear career progression pathways within a reputable multinational organization.