Assessment page icon left

Data Analyst Interview

Sql Python Question(s) & Actual Evaluation

Assessment page icon right
* Please note that the following answer(s) are just sample answers from one of our candidates. It doesn't mean that it's the correct or wrong answer.
Please refer to the evaluation for more insight.

  • Classification: Data Analyst
  • Topic(s): Sql Python
Interview Question:

Can you describe a complex project you worked on as a data analyst? What was your role, and what tools did you use?

Candidate's Answer:

I worked as a data analyst as in Citibank I used.The aim of the project was to create unique identifier for transactions and positions globally for the all 80 countries that Citibank operates in.And I've used Python, SQL and.PIES part to source the data of the project.We because.We worked on 50 plus billion.Record set we had to use by Spark to work to identify issues potential.Exceptions.

Evaluation:

Your answer provides a good starting point, but it can be improved for clarity and detail. Here’s an evaluation:

1. Clarity: The response is a bit fragmented in places, making it hard to follow. Phrases like "used.The aim of the project was" seem to have typographical errors and grammatical issues that detract from your message.

2. Detail: While you mention the aim of the project and some tools used, you don’t elaborate on your specific contributions or the challenges faced. Adding details about your role (e.g., data cleaning, analysis, presenting findings) would provide a fuller picture.

3. Tools: You mention Python, SQL, and Spark, which are relevant, but it would be beneficial to explain how you used each tool in the context of the project.

4. Results: It would strengthen your answer if you discussed the outcomes of the project, such as improvements achieved, insights gained, or how the unique identifier affected business processes.

Here’s a revised example of your answer:

"In my role as a data analyst at Citibank, I was involved in a complex project aimed at creating a unique identifier for transactions and positions across 80 countries. My responsibilities included data sourcing, cleaning, and analysis of over 50 billion records. I used Python for data manipulation and transformation, SQL for querying the databases, and Apache Spark to efficiently process large datasets and identify potential exceptions. The project faced several challenges due to data inconsistencies, but through rigorous data validation and collaboration with the engineering team, we successfully implemented the unique identifier, which streamlined reporting processes and enhanced data accuracy across the organization."

Rating: 3/5.

Improvement areas include providing a clearer structure, elaborating on your specific contributions and challenges, and discussing the project's outcomes.

Create your own personalized full interview in Sql Python now