Data Analyst with SQL/Python/Data visualization
Citigroup
About the role
Eligibility & process
Who can apply
Bachelor's degree or equivalent in any discipline (Engineering, Science, Commerce, Arts). Minimum 60% aggregate or CGPA 6.0/10. Fresh graduates of the 2025β2027 batch. No active backlogs at the time of joining. Strong analytical mindset and good communication skills are essential.
Skills & stack
Selection process
- Round 1: Online Aptitude Test (Logical Reasoning, Numerical Ability, Verbal)
- Round 2: Technical Interview (SQL/Python/Data Visualization)
- Round 3: HR Interview (fitment, motivation, cultural fit)
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.