Business Analytics Analyst

Citi’s interview process typically begins with a timed online aptitude test, followed by a technical interview that focuses on data analysis, SQL queries, and case‑study discussions. The final HR round assesses cultural fit, communication skills, and motivation. Candidates should be ready to discuss past projects, demonstrate logical reasoning, and show enthusiasm for the financial services industry.

Citi promotes a collaborative, inclusive environment where employees are encouraged to innovate and take ownership of their work. The firm offers clear career progression, regular learning programs, and a balanced approach to work‑life integration, especially in its Indian offices.

Bachelor’s degree (any discipline) or equivalent; minimum 60% aggregate in graduation; no active backlogs; batch year 2025‑2026 preferred; strong analytical mindset and good communication skills.

Round 1: Online aptitude/logic test → Round 2: Technical/Case Study interview (data analysis & business scenario) → Round 3: HR interview (fit & cultural alignment)

Citi is one of the world’s leading financial services institutions, operating in more than 160 countries with a workforce of over 200,000 professionals. In India, Citi has built a strong presence across banking, capital markets, and advisory services, offering a dynamic environment where innovation meets global best practices. The firm emphasizes diversity, inclusion, and continuous learning, providing employees with opportunities to work on high‑impact projects that shape the global financial landscape. The Business Analytics Analyst – Officer role is an entry‑level position within Citi’s Decision Management – Business Analysis family. As a Business Analytics Analyst, you will be the bridge between raw data and strategic decision‑making, turning complex datasets into actionable insights that drive business performance. You will work closely with cross‑functional teams, including product, risk, and operations, to understand business problems, extract relevant data, and present findings that influence policy, process improvements, and future growth strategies. Key Responsibilities: 1. Gather operational data from multiple cross‑functional stakeholders to assess historical business performance. 2. Identify patterns, trends, and anomalies in data, delivering insights that support business planning and process optimisation. 3. Translate analytical findings into clear recommendations for policy enhancements and strategic initiatives. 4. Conduct exploratory and confirmatory data analyses, including statistical testing and visualisation. 5. Develop customer‑behavioural insights to aid targeting, segmentation, and product‑design decisions. 6. Communicate analytical results effectively to senior leaders and business partners through reports and presentations. 7. Continuously explore new data sources, analytical tools, and technologies to improve decision‑making capabilities. 8. Collaborate with internal and external partners to design, implement, and monitor decision‑strategies. 9. Assess risk implications of business decisions, ensuring compliance with regulatory and internal policies. 10. Contribute to process‑improvement initiatives by automating data pipelines and reporting workflows. Tech Stack: SQL, Python (pandas, numpy, scikit‑learn), Excel, Tableau / Power BI, statistical packages (R or SAS), basic knowledge of cloud data platforms (AWS/GCP) is advantageous. Growth Path: Starting as an Analyst, high performers can progress to Senior Analyst, Associate, Manager, and eventually to leadership roles such as Business Analytics Lead or Head of Decision Management. Citi’s global rotation programs and continuous learning platforms support rapid skill development and cross‑domain exposure. Why Join Citi? Citi offers a truly global platform with exposure to cutting‑edge financial products and a culture that rewards curiosity and impact. Fresh graduates benefit from structured onboarding, mentorship, and access to world‑class training resources. The role provides a fast‑track into data‑driven finance, enabling you to build a solid foundation for a long‑term career in analytics and banking.