Data Analytics Internship
Nova Technology
About the role
Eligibility & process
Who can apply
Graduating students of 2025β2027 batch; B.Tech/B.E., B.Sc., B.Com, BCA, MCA or related degrees; majors in Computer Science, Information Technology, Statistics, Mathematics, Economics or Data Science; minimum CGPA 6.5/10 (or equivalent); no active backlogs; strong analytical mindset and willingness to learn.
Skills & stack
Selection process
- Round 1: Application shortlisting
- Round 2: Online aptitude & logical reasoning test
- Round 3: Technical interview (data concepts, SQL, Python)
- Round 4: HR interview (fit & motivation)
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 Nova Technology's market reputation, recent tech innovations, and how your skills in Data cleaning 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.