KASHII UPDATEZ Everyday Student Requirements & Python Coding Tutorials by Python Kashi
REQUIREMENT_ID_2421 • 3-DAY_ACTIVE_POLICY JD

Data Analyst with SQL/Python/Data visualization

Company
Company Citigroup
Type
Opportunity Type Internship
Salary
Stipend / Salary 6-8 LPA
Location
Location India (Remote / Multiple), India
Posted Date
Posted Date Today
Apply on Official Website ↗ 🤝 Connect Recruiter ↗
CI
Citigroup Technical Recruiter
Talent Acquisition Partner
🏢 Citigroup • Direct Recruiter Email: recruiter@citigroup.com
SQL Python Power BI Tableau Excel Data Analysis Data Visualization Problem Solving Communication
📖
Aptitude Practice Questions Open Resource ↗
Curated quantitative and logical reasoning problems to sharpen the skills needed for the online assessment at Citi.
📖
Company Interview Preparation Guide Open Resource ↗
Comprehensive guide covering typical interview formats, frequently asked questions, and tips for presenting yourself effectively at Citi.
📖
Citi Specific Interview Resources Open Resource ↗
Targeted preparation material focusing on Citi's recruitment process, including role‑specific questions and case studies.
📖
Algorithm & Data Structure Problem Set Open Resource ↗
Extensive collection of coding problems to practice Python and data‑manipulation skills essential for the technical round.

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.

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

Citigroup — Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC 📖
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource ↗
COMPANY GUIDE 🎯
Citigroup Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Citigroup and off-campus tech roles.

Open Resource ↗
MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource ↗
CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource ↗
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (SQL, Python, Power BI, Tableau, Excel, Data Analysis, Data Visualization, Problem Solving, Communication) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Citigroup Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer ▼
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer ▼
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer ▼
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer ▼
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer ▼
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Citigroup as a Data Analyst with SQL/Python/Data visualization?
Preparation Tip: Highlight Citigroup's market reputation, recent tech innovations, and how your skills in SQL directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

More Fresh Requirements in Software Engineering

View Category Feed ↗
Citigroup
Data Analyst with SQL/Python/Data visualization
Recruiter Apply ↗
Chat Chat with Kashii