Data Analyst with SQL/Python/Data visualization
Citigroup
About the role
Eligibility & process
Who can apply
Graduates with a B.Tech/B.E/MCA/BS in Computer Science, Information Technology, Electronics, or related fields. Minimum 60% aggregate (or CGPA 6.0/10). Batch year 2025β2027. No active backlogs at the time of joining. Strong academic record in quantitative subjects is preferred.
Skills & stack
Selection process
- Round 1: Online Aptitude & Logical Reasoning
- Round 2: Technical Interview (SQL/Python/Data Visualization)
- Round 3: HR Interview
Prep kit
20 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Behavioural & HR questions 3
Highlight Citigroup's market reputation, recent tech innovations, and how your skills in SQL directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.