ZS Associates

Role: Decision Analytics Associate (DAA)

College: Not Specified

Interview Date: 2024-10-09

Interview Type: Off-Campus (through referral)

Result: Selected

Difficulty: Tricky (Aptitude timings), Guesstimates required careful thinking

Rounds: 4 rounds

Topics Asked: Aptitude (Quantitative, Logical), Self-introduction, Guesstimates, Case Study (Pharma dataset), Managerial Questions

Experience:

This candidate applied through a referral and was selected for the DAA role.

Round 1 (Aptitude): Hosted on Talview, this round was mostly aptitude-based. The timings made it tricky, and the candidate missed some questions. Internet issues during submission were also mentioned, with Talview call center support being helpful.

Round 2 (Telephonic Round): Conducted two months later by the recruiter, this short (15-minute) round included a self-introduction and two guesstimate-based questions.

• **Guesstimate 1:** Determine the number of people living in Delhi wearing a red item at that time (shirt, dress, jewelry, pants). The candidate used a logical approach considering the day of the week (Tuesday), population demographics (children, adults, senior citizens), and assumed proportions for popular colors, ignoring jewelry due to the pandemic.
• **Guesstimate 2:** Number of red lights (bulbs, tube lights, LED) in Delhi. The candidate focused on traffic lights, estimated based on roads, and then considered the functionality (80% working).
• **Tip:** Crucial to think before speaking for guesstimates.

Round 3 (Case Study Round): The candidate was given a large dataset of a pharma company to study. Specific details of questions are not provided in the snippet, but it implies data analysis and problem-solving based on the dataset.

Round 4 (Final Round): This round was held by a manager. No specific questions are detailed in the snippet, but it's implied to be a final assessment by a higher-level individual.