
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.
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