salesforce

Salesforce Data Analyst Interview

The interview focuses on analyzing a new app's raw event data, interpreting graphs, and discussing prospective reporting projects. It also includes a case study on employee dataset analysis and reporting best practices.

Data Analyst

8 minutes

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Questions that have appeared at Salesforce for an Engineering (Case Study) interview.

1. System Design

Question: How would you design and architect a scalable and robust system to handle millions of transactions per second?

Question: How would you design a system to detect fraudulent transactions in real time?

Question: If given the task to improve the efficiency of an existing system, what would be your approach?

2. Problem Solving

Question: How would you handle a situation where a critical bug is found in your application just before its major release?

Question: Tell us about a time when you faced a significant problem on a project. How did you solve it?

Question: How would you handle a situation where a new feature you implemented negatively affected the system's performance?

3. Project Management

Question: How would you manage a project with tight deadlines and limited resources?

Question: Describe a scenario where you had to make a trade-off between quality and time-to-market. How did you handle it?

Question: How would you manage the expectations of multiple stakeholders in a project?

4. Data Management

Question: Describe a time when you had to make a decision based on data. What was the situation and how did you handle it?

Question: How would you handle a situation where the data you are working with is of poor quality or incomplete?

Question: How would you design a system to efficiently manage and process large amounts of data in real time?

About This Interview

Interview Type

PRODUCT SENSE

Difficulty Level

4/5

Interview Tips

• Research the company thoroughly

• Practice common questions

• Prepare your STAR method responses

• Dress appropriately for the role